Triple
T35730323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bathurst 1000 track layout |
E1032733
|
entity |
| Predicate | hasNumberOfCorners |
P109332
|
FINISHED |
| Object | 23 |
—
|
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: 23 | Statement: [Bathurst 1000 track layout, hasNumberOfCorners, 23]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfCorners Context triple: [Bathurst 1000 track layout, hasNumberOfCorners, 23]
-
A.
hasCornerCount
chosen
Indicates that an entity is associated with a specific number of corners.
-
B.
hasCorner
Indicates that one entity possesses or includes a corner that is part of or associated with another entity.
-
C.
numberOfSides
Indicates the relationship that specifies how many sides a given object or shape has.
-
D.
hasSlowCorners
Indicates that an entity possesses corners or turning points that are navigated or traversed at a relatively low speed.
-
E.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
- 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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: May 3, 2026, 4:05 p.m.