Triple

T16734132
Position Surface form Disambiguated ID Type / Status
Subject Tottenham (UK Parliament constituency) E406672 entity
Predicate contains P35 FINISHED
Object Seven Sisters E404872 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: Seven Sisters | Statement: [Tottenham (UK Parliament constituency), contains, Seven Sisters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seven Sisters
Context triple: [Tottenham (UK Parliament constituency), contains, 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
    Seven Sisters is a former coal mining village and community in Neath Port Talbot, Wales.
  • D. Seven Sisters chosen
    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 (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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c38c9cc8190a3220cc3684388dc completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aaf1853c819084d636afe8f3cb2e completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:20 a.m.