Triple
T2734286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persebaya Surabaya |
E60591
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Persebaya |
E60591
|
NE 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: Persebaya | Statement: [Persebaya Surabaya, shortName, Persebaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Persebaya Context triple: [Persebaya Surabaya, shortName, Persebaya]
-
A.
Persebaya Surabaya
chosen
Persebaya Surabaya is a prominent Indonesian professional football club based in Surabaya, East Java, known for its passionate fan base and success in domestic competitions.
-
B.
Gamba Osaka
Gamba Osaka is a professional Japanese football club that competes in the J1 League and is known as one of the country's most successful and historic teams.
-
C.
Vissel Kobe
Vissel Kobe is a professional Japanese football club based in Kobe that competes in the J1 League.
-
D.
Albirex Niigata
Albirex Niigata is a professional Japanese football club based in Niigata that competes in the J.League.
-
E.
Caps United F.C.
Caps United F.C. is one of Zimbabwe’s most prominent football clubs, known for its passionate fan base and intense domestic rivalries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6a15e548190a118880f9904f9cc |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:56 p.m.