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.