Triple
T2734294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persebaya Surabaya |
E60591
|
entity |
| Predicate | rival |
P437
|
FINISHED |
| Object |
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.
|
E294387
|
NE FINISHED |
How this triple was built (4 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: Arema FC | Statement: [Persebaya Surabaya, rival, Arema FC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arema FC Context triple: [Persebaya Surabaya, rival, Arema FC]
-
A.
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.
-
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.
Albirex Niigata
Albirex Niigata is a professional Japanese football club based in Niigata that competes in the J.League.
-
D.
Vissel Kobe
Vissel Kobe is a professional Japanese football club based in Kobe that competes in the J1 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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arema FC Triple: [Persebaya Surabaya, rival, Arema FC]
Generated description
Arema FC is a professional Indonesian football club based in Malang, East Java, known for its passionate fanbase and fierce derbies against Persebaya Surabaya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arema FC Target entity description: Arema FC is a professional Indonesian football club based in Malang, East Java, known for its passionate fanbase and fierce derbies against Persebaya Surabaya.
-
A.
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.
-
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.
Albirex Niigata
Albirex Niigata is a professional Japanese football club based in Niigata that competes in the J.League.
-
D.
Vissel Kobe
Vissel Kobe is a professional Japanese football club based in Kobe that competes in the J1 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. chosen
Provenance (5 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_69afbbc430ec8190a54f805cd0067b97 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbc545dc48190b61ed2ee73d53737 |
completed | March 10, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbcd39c608190b01924370208f1ec |
completed | March 10, 2026, 6:40 a.m. |
Created at: March 6, 2026, 9:56 p.m.