Triple
T927968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yomiuri Giants |
E20026
|
entity |
| Predicate | hasFanBaseSize |
P15029
|
FINISHED |
| Object | one of the largest in Japanese baseball |
—
|
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: one of the largest in Japanese baseball | Statement: [Yomiuri Giants, hasFanBaseSize, one of the largest in Japanese baseball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanBaseSize Context triple: [Yomiuri Giants, hasFanBaseSize, one of the largest in Japanese baseball]
-
A.
fanBase
Indicates that one entity is the group of admirers or supporters devoted to another entity.
-
B.
hasAudienceSize
chosen
Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
-
C.
stadiumCapacityApprox
Indicates an approximate number of people that a stadium can accommodate.
-
D.
fanbaseCharacteristic
Indicates a characteristic, trait, or common quality that typically describes or distinguishes the fanbase of an entity.
-
E.
rosterSize
Indicates the total number of individuals included on a given roster.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b32de3cc81908a0ef885795677ff |
completed | March 1, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69a4b29876348190a29f4ff9878074a5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.