Triple

T17207378
Position Surface form Disambiguated ID Type / Status
Subject PSPS Riau E417634 entity
Predicate shortName P43 FINISHED
Object PSPS Riau E417634 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: PSPS Riau | Statement: [PSPS Riau, shortName, PSPS Riau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PSPS Riau
Context triple: [PSPS Riau, shortName, PSPS Riau]
  • A. PSPS Riau chosen
    PSPS Riau is an Indonesian professional football club based in Pekanbaru, Riau, that competes in the national league system.
  • B. 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.
  • C. Pelita Jaya
    Pelita Jaya is an Indonesian football club that once featured legendary Argentine striker Mario Kempes among its players.
  • D. Arema
    Arema is a French company that manages and operates major sports and events venues, including Marseille’s Stade Vélodrome.
  • E. Lajong SC
    Lajong SC is an Indian professional football club based in Shillong, Meghalaya, known for competing in national leagues and developing talent from the Northeast region.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc283648190b2c1f957940024aa completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fe0a28c8190a76b3a356f7e0478 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.