Triple

T30180082
Position Surface form Disambiguated ID Type / Status
Subject Puget Sound ferry terminals E767175 entity
Predicate regionServed P82 FINISHED
Object Kitsap County E53390 NE FINISHED

How this triple was built (1 step)

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: Kitsap County | Statement: [Puget Sound ferry terminals, regionServed, Kitsap County]

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_69f2247ba20c81909d34f2bfed706e1e completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67f40e2808190b08d8870702a3f5c completed May 2, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2958ea3c8c8190a5c26d181fe0e329 completed June 10, 2026, 12:30 p.m.
Created at: April 29, 2026, 7:26 p.m.