Triple

T7249351
Position Surface form Disambiguated ID Type / Status
Subject Jorge Jesus E156555 entity
Predicate playedFor P2170 FINISHED
Object Amora FC E652333 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: Amora FC | Statement: [Jorge Jesus, playedFor, Amora FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amora FC
Context triple: [Jorge Jesus, playedFor, Amora FC]
  • A. Amora FC chosen
    Amora FC is a Portuguese football club known for competing in the lower tiers of the national league system and for having been coached early on by renowned manager Jorge Jesus.
  • B. Al Fayha FC
    Al Fayha FC is a professional football club from Al Majma'ah, Saudi Arabia, that competes in the country’s top-tier Saudi Pro League.
  • C. Hafia FC
    Hafia FC is a historically successful Guinean football club best known for dominating African club competitions in the 1970s, including multiple continental titles.
  • D. Chinandega FC
    Chinandega FC is a Nicaraguan football club that competes in the country’s national league system and represents the city of Chinandega.
  • E. Abha FC
    Abha FC is a professional football club based in Abha, Saudi Arabia, that competes in the Saudi Pro League.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea77a3588190accf31860170f052 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db1278b08190bab9f01287040492 completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:56 p.m.