Triple
T6587540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiba Lotte Marines |
E159262
|
entity |
| Predicate | hasCheerStyle |
P71645
|
FINISHED |
| Object | ouendan cheering |
—
|
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: ouendan cheering | Statement: [Chiba Lotte Marines, hasCheerStyle, ouendan cheering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCheerStyle Context triple: [Chiba Lotte Marines, hasCheerStyle, ouendan cheering]
-
A.
hasCheerleaders
Indicates that an entity is associated with or supported by one or more cheerleaders.
-
B.
hasChorusStyle
Indicates that an entity is associated with a particular style or manner in which a chorus is performed or structured.
-
C.
hasCharm
Indicates that an entity possesses or exhibits charm, attractiveness, or an appealing quality.
-
D.
hasBroadcastStyle
Indicates that one entity is characterized by, or associated with, a particular manner or style of broadcasting.
-
E.
hasChantStyleHook
Indicates that something possesses or is associated with a specific chant-style hook as a characteristic or feature.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c07bb434819096ec3e3b966042a5 |
completed | March 27, 2026, 5:38 p.m. |
Created at: March 27, 2026, 1:55 p.m.