Triple
T26729538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Racecourse |
E673927
|
entity |
| Predicate | dirtCourseDirection |
P50585
|
FINISHED |
| Object | left-handed |
—
|
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: left-handed | Statement: [Tokyo Racecourse, dirtCourseDirection, left-handed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dirtCourseDirection Context triple: [Tokyo Racecourse, dirtCourseDirection, left-handed]
-
A.
raceDirection
chosen
Indicates the directional orientation or path along which a race or racing event proceeds.
-
B.
trailOrientation
Indicates the directional alignment or facing direction of a trail relative to a reference frame or compass directions.
-
C.
directionType
Indicates the specific kind or category of direction associated with a movement, orientation, or relation between entities.
-
D.
departureDirection
Indicates the direction or bearing in which an entity moves away from its point of origin or starting location.
-
E.
roadDirectionConvention
Indicates the customary rule in a place for which side of the road vehicles are expected to drive on.
- 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f618401d2481908b10199b30333192 |
completed | May 2, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:44 a.m.