Triple
T6850614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flemington Racecourse |
E158004
|
entity |
| Predicate | homeStraightLength |
P30560
|
FINISHED |
| Object | 450 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: 450 metres | Statement: [Flemington Racecourse, homeStraightLength, 450 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeStraightLength Context triple: [Flemington Racecourse, homeStraightLength, 450 metres]
-
A.
mainStraightLengthM
chosen
Indicates the length, measured in meters, of the main straight segment (typically of a track, road, or similar linear feature).
-
B.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
C.
bedLength
Indicates the measurement of how long a bed is from one end to the other.
-
D.
isMostlyStraight
Indicates that an entity is predominantly but not entirely straight in orientation, alignment, or form.
-
E.
hasMainStraightLengthKm
Indicates the length in kilometers of the primary or main straight segment associated with an entity.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84c45708190918adfc028252400 |
completed | March 27, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.