Triple
T12252514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonek |
E292008
|
entity |
| Predicate | associatedClubNickname |
P5076
|
FINISHED |
| Object | Bajul Ijo |
E292005
|
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: Bajul Ijo | Statement: [Bonek, associatedClubNickname, Bajul Ijo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bajul Ijo Context triple: [Bonek, associatedClubNickname, Bajul Ijo]
-
A.
Bajul Ijo
chosen
Bajul Ijo is the popular nickname of Indonesian football club Persebaya Surabaya, reflecting its green colors and crocodile-themed identity.
-
B.
Jajau
Jajau is a locality in northern India historically noted as the place where the Mughal prince Azam Shah died.
-
C.
Ranu Pakis
Ranu Pakis is a volcanic crater lake in East Java, Indonesia, known for its scenic setting near Mount Lamongan.
-
D.
Bayabas
Bayabas is a coastal municipality in the Philippine province of Surigao del Sur known for its fishing communities and rural seaside landscapes.
-
E.
Gelgel
Gelgel is a historic village in Bali, Indonesia, known as a former royal capital and cultural center of the Klungkung kingdom.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc849308190b6ff416f8b4f01e8 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abdc5988190a19104385f54fb06 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:52 p.m.