Triple
T1406330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Radio Astronomy Observatory |
E31699
|
entity |
| Predicate | hasMainInstrumentType |
P12711
|
FINISHED |
| Object | radio telescope |
—
|
LITERAL FINISHED |
How this triple was built (2 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: radio telescope | Statement: [National Radio Astronomy Observatory, hasMainInstrumentType, radio telescope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainInstrumentType Context triple: [National Radio Astronomy Observatory, hasMainInstrumentType, radio telescope]
-
A.
typeOfInstrument
chosen
Indicates the specific kind or category of instrument associated with an entity.
-
B.
hasMusicalInstrument
Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
-
C.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
D.
notableInstrument
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
E.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
- F. None of above.
Provenance (3 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3be10348190ade8a73780d2c008 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.