Triple

T8380305
Position Surface form Disambiguated ID Type / Status
Subject MVRD E197670 entity
Predicate containsMunicipality P852 FINISHED
Object Langley E211415 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: [MVRD, containsMunicipality, Langley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langley
Context triple: [MVRD, containsMunicipality, 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 City chosen
    Langley City is an urban municipality in British Columbia, Canada, located in the Fraser Valley as part of the Metro Vancouver region.
  • D. Langley, Washington
    Langley, Washington is a small, scenic waterfront town on Whidbey Island known for its arts community, coastal views, and charming downtown.
  • E. Lytton, British Columbia
    Lytton, British Columbia is a small village in the interior of the province known for its location at the confluence of the Fraser and Thompson Rivers and for often recording some of the highest temperatures in Canada.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c57080819097eef2b7e46eaaee completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde803ac088190ae185ef444c9c7b9 completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:02 p.m.