Triple
T6850609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flemington Racecourse |
E158004
|
entity |
| Predicate | firstRaceHeld |
P6638
|
FINISHED |
| Object | 1840 |
—
|
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: 1840 | Statement: [Flemington Racecourse, firstRaceHeld, 1840]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRaceHeld Context triple: [Flemington Racecourse, firstRaceHeld, 1840]
-
A.
firstF1RaceInRegion
Indicates that a given Formula 1 race is the first F1 race ever held within a specified geographic region.
-
B.
firstEditionHeldIn
chosen
Indicates the location where the first edition or initial occurrence of an event was held.
-
C.
firstTourDeFranceHeld
Indicates that the subject is the location or context in which the first Tour de France event was held.
-
D.
firstRunningWinner
Indicates that the subject is the first entity to win among those participating in a running event or race.
-
E.
firstCeremony
Indicates that an entity participates in or is associated with the earliest or initial ceremony in a sequence or context.
- 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.