Triple

T17577754
Position Surface form Disambiguated ID Type / Status
Subject Region A E428115 entity
Predicate contains P35 FINISHED
Object Blue Hills 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: Blue Hills | Statement: [Region A, contains, Blue Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Hills
Context triple: [Region A, contains, Blue Hills]
  • A. Blue Hills
    Blue Hills is a neighborhood in the city of Hartford, Connecticut, known as a primarily residential community within the Hartford metropolitan area.
  • B. Blue Hills
    Blue Hills is a coastal settlement on the island of Providenciales in the Turks and Caicos Islands, known as one of its oldest communities.
  • C. Blue Hills
    Blue Hills is a community or neighborhood associated with the city of Provo, Utah.
  • D. Blue Hill
    Blue Hill is the English translation of the Spanish place name "Cerro Azul," commonly used to refer to locations characterized by a bluish-colored hill or mountain.
  • E. Blue Hill
    Blue Hill is a small rural settlement on the island of Saint Helena, known for its remote location and agricultural character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cb40088190b726f2c026358cf2 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.