Triple

T19556672
Position Surface form Disambiguated ID Type / Status
Subject Port Costa School E489330 entity
Predicate hasName P744 FINISHED
Object Port Costa School 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: Port Costa School | Statement: [Port Costa School, hasName, Port Costa School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Costa School
Context triple: [Port Costa School, hasName, Port Costa School]
  • A. Port Costa School chosen
    Port Costa School is a historic former schoolhouse in Port Costa, California, recognized as one of the town’s most notable landmark buildings.
  • B. Port Noarlunga Primary School
    Port Noarlunga Primary School is a local public primary school serving the educational needs of children in the coastal suburb of Port Noarlunga, South Australia.
  • C. Point Clare Public School
    Point Clare Public School is a government primary school serving the local community of Point Clare in New South Wales, Australia.
  • D. Christies Beach High School
    Christies Beach High School is a secondary school located in the coastal suburb of Christies Beach in South Australia.
  • E. Penair School
    Penair School is a coeducational secondary school and academy serving students in and around the city of Truro in Cornwall, England.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d341d708190b8ef35822f8bfe7c completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:42 p.m.