Triple
T28343027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddh International Circuit |
E717867
|
entity |
| Predicate | mainStraightLengthMi |
P148011
|
FINISHED |
| Object | 0.66 |
—
|
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: 0.66 | Statement: [Buddh International Circuit, mainStraightLengthMi, 0.66]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainStraightLengthMi Context triple: [Buddh International Circuit, mainStraightLengthMi, 0.66]
-
A.
mainStraightLengthM
Indicates the length, measured in meters, of the main straight segment (typically of a track, road, or similar linear feature).
-
B.
mainStraightLengthKm
Indicates the length, measured in kilometers, of the primary straight segment associated with the entity.
-
C.
hasMainStraightLengthKm
Indicates the length in kilometers of the primary or main straight segment associated with an entity.
-
D.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
-
E.
trackLengthMiles
chosen
Indicates the length of a track measured in miles.
- 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_69eff6eb30388190b898b96c4be6f49d |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 28, 2026, 12:41 a.m.