Triple
T1410410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian gazelle |
E31789
|
entity |
| Predicate | shoulderHeight |
P5911
|
FINISHED |
| Object | about 60–65 centimeters |
—
|
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: about 60–65 centimeters | Statement: [Indian gazelle, shoulderHeight, about 60–65 centimeters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shoulderHeight Context triple: [Indian gazelle, shoulderHeight, about 60–65 centimeters]
-
A.
estimatedHeightAtHipsInMeters
Indicates the estimated vertical height, measured in meters, of an entity at the level of its hips.
-
B.
heightInInches
Indicates that one entity has a specific height measured in inches.
-
C.
heightInCentimetres
chosen
Indicates the numerical value of an entity’s height measured in centimetres.
-
D.
shaftHeight
Indicates the vertical extent or length of a shaft from its base to its top.
-
E.
heightReference
Indicates that one entity’s height is being measured, compared, or defined relative to another specified reference point or standard.
- 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_69a4c3e0bfd08190a50820bc7585c28f |
completed | March 1, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.