Triple
T12557837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narrabri Stellar Intensity Interferometer |
E295263
|
entity |
| Predicate | trackDiameter |
P105886
|
FINISHED |
| Object | 188 metres |
—
|
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: 188 metres | Statement: [Narrabri Stellar Intensity Interferometer, trackDiameter, 188 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackDiameter Context triple: [Narrabri Stellar Intensity Interferometer, trackDiameter, 188 metres]
-
A.
driverDiameter
Indicates the size of the circular cross-section of a driver component, typically measured as the distance across its widest point.
-
B.
wheelDiameter
Indicates the size of a wheel measured across its diameter.
-
C.
shellDiameter
Indicates the diameter measurement of a shell, typically specifying the distance across it at its widest point.
-
D.
mountDiameter
Indicates the size of the circular interface where one component is mounted onto another, typically measured as the diameter of the mounting point or opening.
-
E.
trunkDiameter
Indicates the measured thickness of a trunk, typically expressed as the diameter across its cross-section.
- F. None of above. chosen
Provenance (4 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 11:47 p.m.