Triple
T24903367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newmarket Handicap |
E623637
|
entity |
| Predicate | raceRegion |
P157470
|
FINISHED |
| Object | Australasia |
—
|
NE NERFINISHED |
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: Australasia | Statement: [Newmarket Handicap, raceRegion, Australasia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceRegion Context triple: [Newmarket Handicap, raceRegion, Australasia]
-
A.
raceContext
Indicates the situational or environmental circumstances under which a race or competitive event takes place.
-
B.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
C.
regionOfRacingSuccess
Indicates the geographic area where an entity has achieved notable success in racing competitions.
-
D.
registrationRegion
Indicates the geographic or administrative region in which an entity is officially registered.
-
E.
trackRegion
Indicates that an entity is associated with, occurs within, or is relevant to a specific geographic or logical region used for tracking.
- F. None of above. chosen
Provenance (4 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f4303fad6c8190844f069164f0904d |
completed | May 1, 2026, 4:46 a.m. |
Created at: April 18, 2026, 5:27 a.m.