Triple

T7471158
Position Surface form Disambiguated ID Type / Status
Subject Hajj al-Qiran E176506 entity
Predicate requiresTravelTo P26659 FINISHED
Object Mina E44071 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: Mina | Statement: [Hajj al-Qiran, requiresTravelTo, Mina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mina
Context triple: [Hajj al-Qiran, requiresTravelTo, Mina]
  • A. Mina chosen
    Mina is a valley and neighborhood near Mecca in Saudi Arabia that serves as a major site for key Hajj rituals, including the symbolic stoning of the devil.
  • B. Mina
    Mina is a Gbe language of the Niger-Congo family spoken primarily in southern Togo and neighboring regions of West Africa.
  • C. Mina
    Mina is a coastal city and port in northern Lebanon known for its maritime activities and proximity to Tripoli.
  • D. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • E. Mir mine
    Mir mine is a massive former open-pit diamond mine in Mirny, Siberia, notable as one of the world’s largest man-made excavations and a key site in the Soviet Union’s diamond industry.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f4ec85488190a1f7fb913e0fbe35 completed March 27, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8347b36388190989d2bcbe3f747bf completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:41 p.m.