Triple
T991220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magellan Telescopes |
E21393
|
entity |
| Predicate | hasInstrument |
P35
|
FINISHED |
| Object |
LDSS3
LDSS3 is a wide-field, multi-object spectrograph and imaging instrument used on the Magellan Telescopes for detailed optical observations of faint astronomical objects.
|
E117315
|
NE FINISHED |
How this triple was built (4 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: LDSS3 | Statement: [Magellan Telescopes, hasInstrument, LDSS3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LDSS3 Context triple: [Magellan Telescopes, hasInstrument, LDSS3]
-
A.
DSS
DSS is the abbreviated name of the Securitate, the notorious secret police service of Communist Romania.
-
B.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
C.
PlayStation 5
PlayStation 5 is Sony’s ninth-generation home video game console known for its high-speed SSD, advanced graphics capabilities, and support for immersive features like ray tracing and 3D audio.
-
D.
NSPS
NSPS stands for New Source Performance Standards, a set of U.S. federal air pollution control regulations under the Clean Air Act that limit emissions from newly built or modified industrial sources.
-
E.
LS2
LS2 is a mid-level trim variant of the Saturn L-Series midsize sedan, offering additional comfort and convenience features over the base model.
- 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: LDSS3 Triple: [Magellan Telescopes, hasInstrument, LDSS3]
Generated description
LDSS3 is a wide-field, multi-object spectrograph and imaging instrument used on the Magellan Telescopes for detailed optical observations of faint astronomical objects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LDSS3 Target entity description: LDSS3 is a wide-field, multi-object spectrograph and imaging instrument used on the Magellan Telescopes for detailed optical observations of faint astronomical objects.
-
A.
DSS
DSS is the abbreviated name of the Securitate, the notorious secret police service of Communist Romania.
-
B.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
C.
PlayStation 5
PlayStation 5 is Sony’s ninth-generation home video game console known for its high-speed SSD, advanced graphics capabilities, and support for immersive features like ray tracing and 3D audio.
-
D.
NSPS
NSPS stands for New Source Performance Standards, a set of U.S. federal air pollution control regulations under the Clean Air Act that limit emissions from newly built or modified industrial sources.
-
E.
LS2
LS2 is a mid-level trim variant of the Saturn L-Series midsize sedan, offering additional comfort and convenience features over the base model.
- F. None of above. chosen
Provenance (5 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c25e5081909ff1ada6b8bf617a |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac258f823c8190afeff79b6a4df911 |
completed | March 7, 2026, 1:18 p.m. |
| NEDg | Description generation | batch_69ac261af46c81908d61b29ea97c0884 |
completed | March 7, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac26ee09f0819098a7b1adcbb79053 |
completed | March 7, 2026, 1:23 p.m. |
Created at: March 1, 2026, 7:41 p.m.