Triple
T12656661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ELT |
E302300
|
entity |
| Predicate | primaryMirrorDesignation |
P106033
|
FINISHED |
| Object |
M1
M1 is the main primary mirror of the Extremely Large Telescope, responsible for collecting and focusing incoming light for its observations.
|
E995331
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: M1 | Statement: [ELT, primaryMirrorDesignation, M1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M1 Context triple: [ELT, primaryMirrorDesignation, M1]
-
A.
M1
M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
-
B.
M1
M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
-
C.
M1
M1 is a light metro line in Lausanne, Switzerland, connecting the city center with the university and lakeside areas.
-
D.
M1
M1 is a major north–south motorway in England connecting London with Leeds and forming a key part of the UK’s primary road network.
-
E.
M1
M1 is a major north–south urban freeway in Johannesburg, South Africa, connecting the city center with key suburbs and routes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: M1 Triple: [ELT, primaryMirrorDesignation, M1]
Generated description
M1 is the main primary mirror of the Extremely Large Telescope, responsible for collecting and focusing incoming light for its observations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M1 Target entity description: M1 is the main primary mirror of the Extremely Large Telescope, responsible for collecting and focusing incoming light for its observations.
-
A.
M1
M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
-
B.
M1
M1 is one of the main lines of the Bucharest Metro, forming part of the city’s core rapid transit network.
-
C.
M1
M1 is a major north–south motorway in England connecting London with Leeds and forming a key part of the UK’s primary road network.
-
D.
M1
M1 is the region of the brain’s frontal lobe responsible for executing voluntary movements by sending motor commands to the muscles.
-
E.
M1
M1 is one of the main lines of the Copenhagen Metro, providing rapid transit service through central Copenhagen and connecting key residential and commercial areas.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMirrorDesignation Context triple: [ELT, primaryMirrorDesignation, M1]
-
A.
primaryMirrorShape
Indicates that one entity has a primary mirror whose geometric shape or curvature type is specified by the other entity.
-
B.
alternateDesignation
Indicates that one entity serves as an alternative name, label, or identifier for another entity.
-
C.
secondaryMirrorDiameter
Indicates the diameter measurement of a system’s secondary mirror in a multi-mirror optical setup.
-
D.
bayerDesignation
Indicates the assignment of a star’s Bayer designation, linking a star to its specific Greek-letter-plus-constellation label used in astronomy.
-
E.
primaryMirrorDiameter
Indicates the diameter of the primary mirror used in an optical system or instrument.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668832c7081909eb75429efba493e |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f6697e3a688190abd025df1112feba |
completed | May 2, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66a9230608190bfe99290ca1679fa |
completed | May 2, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:18 p.m.