Triple

T20151811
Position Surface form Disambiguated ID Type / Status
Subject County Borough of Neath Port Talbot E491451 entity
Predicate containsSettlement P847 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: [County Borough of Neath Port Talbot, containsSettlement, Seven Sisters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seven Sisters
Context triple: [County Borough of Neath Port Talbot, containsSettlement, Seven Sisters]
  • A. Seven Sisters
    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
    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.
  • C. Seven Sisters chosen
    Seven Sisters is a former coal mining village and community in Neath Port Talbot, Wales.
  • D. Seven Sisters
    Seven Sisters is a district in North London known for its diverse community, busy transport hub, and vibrant high street.
  • E. 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.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667dc34e081908e42e4c1bde26170 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:33 p.m.