Triple

T19291851
Position Surface form Disambiguated ID Type / Status
Subject HIP 17531 E482460 entity
Predicate hasTraditionalAssociation P44442 FINISHED
Object Seven Sisters 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: Seven Sisters | Statement: [HIP 17531, hasTraditionalAssociation, Seven Sisters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seven Sisters
Context triple: [HIP 17531, hasTraditionalAssociation, Seven Sisters]
  • A. Seven Sisters chosen
    Seven Sisters is the common name for the Pleiades, a prominent open star cluster in the constellation Taurus visible to the naked eye.
  • B. Seven Sisters
    Seven Sisters is a district in North London known for its diverse community, busy transport hub, and vibrant high street.
  • C. Seven Sisters
    Seven Sisters is a famous row of colorful Victorian and Edwardian houses in San Francisco, often featured in photographs and films as an iconic city landmark.
  • D. Seven Sisters
    The Seven Sisters are a historic group of elite, traditionally women’s liberal arts colleges in the Northeastern United States, founded to provide an education comparable to that of the Ivy League.
  • E. Seven Sisters
    Seven Sisters is a group of seven monumental Stalinist skyscrapers in Moscow, renowned for their distinctive wedding-cake design and dominance of the city’s skyline.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc819a7881909a7afbd06d9dd3f0 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.