Triple

T16730846
Position Surface form Disambiguated ID Type / Status
Subject Blackfield E406585 entity
Predicate adjacentTo P224 FINISHED
Object Langley E950216 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: Langley | Statement: [Blackfield, adjacentTo, Langley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langley
Context triple: [Blackfield, adjacentTo, Langley]
  • A. Langley
    Langley is a small coastal city on Whidbey Island in Washington State, known for its scenic waterfront, arts community, and tourism.
  • B. Langley
    Langley is a surname of English origin borne by various notable individuals across fields such as literature, science, and politics.
  • C. Langley
    Langley is the historical name for the English village now known as Kings Langley in Hertfordshire.
  • D. Langley chosen
    Langley is a suburban area in Berkshire, England, situated near Slough and known for its residential neighborhoods and transport links into London.
  • E. Langley City
    Langley City is an urban municipality in British Columbia, Canada, located in the Fraser Valley as part of the Metro Vancouver region.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3874bd7648190a6a7d173d4b497a7 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4a94688190aabe56c34e8cc2c3 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.