Triple

T19687316
Position Surface form Disambiguated ID Type / Status
Subject DFLP E472745 entity
Predicate foundedBy P104 FINISHED
Object Nayef Hawatmeh 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: Nayef Hawatmeh | Statement: [DFLP, foundedBy, Nayef Hawatmeh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nayef Hawatmeh
Context triple: [DFLP, foundedBy, Nayef Hawatmeh]
  • A. Nayef Hawatmeh chosen
    Nayef Hawatmeh is a Palestinian political leader and Marxist revolutionary best known as the longtime head of the Democratic Front for the Liberation of Palestine (DFLP).
  • B. Moez Limayem
    Moez Limayem is an academic leader and scholar who serves as the president of the University of North Florida.
  • C. Wissam Al Mana
    Wissam Al Mana is a Qatari businessman and executive known for his leadership in the Al Mana Group, a major Middle Eastern retail and investment conglomerate.
  • D. Abdullah Hammoud
    Abdullah Hammoud is an American politician who became the first Arab American and Muslim mayor of Dearborn, Michigan, known for his progressive policies and advocacy for public health and civil rights.
  • E. Thamir Ghadhban
    Thamir Ghadhban is an Iraqi politician and technocrat who has served in senior government roles, including as a key figure in managing Iraq’s oil sector.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6420d39688190ad3a84dbffce4ffe completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:45 p.m.