Triple
T1164736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higashiōsaka |
E24574
|
entity |
| Predicate | sportPopular |
P251
|
FINISHED |
| Object | rugby union |
—
|
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: rugby union | Statement: [Higashiōsaka, sportPopular, rugby union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportPopular Context triple: [Higashiōsaka, sportPopular, rugby union]
-
A.
popularSport
chosen
Indicates that a sport is widely liked, followed, or played by many people within a certain group or region.
-
B.
sport
Indicates that an entity participates in, is associated with, or is characterized by a particular athletic activity or game.
-
C.
sportFocus
Indicates that one entity has a primary emphasis, specialization, or concentration on a particular sport represented by the other entity.
-
D.
sportsInfluence
Indicates a relationship where one entity affects, shapes, or contributes to another entity’s involvement, performance, or outcomes in sports.
-
E.
sportsName
Indicates the specific sport associated with or played in a given context or event.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccb3b388190938c68dee90b3f19 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb548c1481909092626c572d8782 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.