Triple
T12444359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persija Jakarta |
E297357
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Persija |
E297357
|
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: Persija | Statement: [Persija Jakarta, shortName, Persija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Persija Context triple: [Persija Jakarta, shortName, Persija]
-
A.
Persija Jakarta
chosen
Persija Jakarta is a prominent professional football club based in Jakarta, Indonesia, known for its large fanbase and historic status in Indonesian football.
-
B.
Persebaya Surabaya
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.
-
C.
Arema FC
Arema FC is a professional Indonesian football club based in Malang, East Java, known for its passionate fanbase and fierce derbies against Persebaya Surabaya.
-
D.
PSIS Semarang
PSIS Semarang is an Indonesian professional football club based in Semarang, Central Java, known for its passionate fanbase and historic presence in the national league system.
-
E.
Arema
Arema is a French company that manages and operates major sports and events venues, including Marseille’s Stade Vélodrome.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8fd9848190a83410353d88ea8d |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f746055aac81909626eaa891199019 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 8, 2026, 9:55 p.m.