Triple

T23199651
Position Surface form Disambiguated ID Type / Status
Subject HD 69267 E579970 entity
Predicate hasAlternateName P39 FINISHED
Object Al Tarf 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 Tarf | Statement: [HD 69267, hasAlternateName, Al Tarf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Tarf
Context triple: [HD 69267, hasAlternateName, Al Tarf]
  • A. Al Tarf chosen
    Al Tarf is a bright giant star in the constellation Cancer, designated as Beta Cancri and visible to the naked eye.
  • B. Al Tarf
    Al Tarf is a traditional name for Gamma Cancri, a star in the constellation Cancer.
  • C. Al Dafna
    Al Dafna is a prominent business and commercial district in Doha, Qatar, known for its modern skyscrapers and waterfront location along the Doha Corniche.
  • D. At-Tiwal
    At-Tiwal is the group of the longest surahs in the Qur’an, traditionally recognized as a distinct category in classical Islamic scholarship.
  • E. Tadla
    Tadla is a historical region in central Morocco known for its agricultural plains and strategic location between the Middle Atlas and High Atlas mountains.
  • 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907835448190aa4fc234d15527c3 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.