Triple

T15196876
Position Surface form Disambiguated ID Type / Status
Subject A565 E363158 entity
Predicate passesThrough P225 FINISHED
Object Bootle E67550 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: Bootle | Statement: [A565, passesThrough, Bootle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bootle
Context triple: [A565, passesThrough, Bootle]
  • A. Bootle chosen
    Bootle is a town in the Metropolitan Borough of Sefton in Merseyside, England, situated just north of Liverpool and historically known for its docks and industrial heritage.
  • B. Blix
    Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
  • C. Blix
    Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
  • D. Blagg
    Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
  • E. Blargg
    Blargg is a lava-dwelling, fire-resistant enemy creature from the Super Mario video game series that emerges from molten pools to attack the player.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067fcc788190abdc083d4eadeb36 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e82400819087dc782c1f48af39 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:10 a.m.