Triple
T26729544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Racecourse |
E673927
|
entity |
| Predicate | hasInfieldAmusementFacilities |
P187562
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tokyo Racecourse, hasInfieldAmusementFacilities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfieldAmusementFacilities Context triple: [Tokyo Racecourse, hasInfieldAmusementFacilities, yes]
-
A.
amusementParkType
Indicates that one entity is classified as a specific type or category of amusement park in relation to another entity.
-
B.
developedAsAmusementArea
Indicates that an area was created or transformed specifically for recreational or entertainment purposes.
-
C.
hasRailroadAttraction
Indicates that one entity features or contains a railroad-related attraction, such as a railway exhibit, ride, or point of interest.
-
D.
indoorPark
Indicates that an activity or event takes place in an indoor park or indoor recreational facility.
-
E.
hasThemeParkAreaType
Indicates that an entity is associated with a specific type or category of theme park area.
- 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb6fdab95c81909acff3c6a2359787 |
completed | May 6, 2026, 4:44 p.m. |
Created at: April 27, 2026, 3:44 a.m.