Triple

T21141612
Position Surface form Disambiguated ID Type / Status
Subject Lisandro López E520942 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Al-Gharafa SC NE NERFINISHED

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: Al-Gharafa SC | Statement: [Lisandro López, memberOfSportsTeam, Al-Gharafa SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Gharafa SC
Context triple: [Lisandro López, memberOfSportsTeam, Al-Gharafa SC]
  • A. Al Gharafa SC chosen
    Al Gharafa SC is a professional football club based in Qatar that competes in the country’s top-tier league and is known for its domestic success.
  • B. Al Wakrah SC
    Al Wakrah SC is a professional football club from Al Wakrah, Qatar, known for competing in the country’s top-tier league and having a long-standing presence in Qatari football.
  • C. Khor Fakkan SC
    Khor Fakkan SC is a professional football club based in Khor Fakkan, United Arab Emirates, that competes in the UAE Pro League.
  • D. Al Wahda FC
    Al Wahda FC is a professional football club based in Abu Dhabi, United Arab Emirates, known as one of the country's prominent teams.
  • E. Al Sailiya SC
    Al Sailiya SC is a professional football club based in Al Sailiya, Qatar, known for competing in the country’s top-tier league system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723f96cf081909d10309e08aeca93 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:57 p.m.