Triple

T23694785
Position Surface form Disambiguated ID Type / Status
Subject Yokote E585403 entity
Predicate hasSisterCity P919 FINISHED
Object Snohomish E285605 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: Snohomish | Statement: [Yokote, hasSisterCity, Snohomish]

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_69e249037ce0819088b149608e98f685 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b5c53cb88190a1964999f8ccb4cf completed April 29, 2026, 7:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a111ad5a13c81908f4cf10fa287eaa6 completed May 23, 2026, 3:11 a.m.
Created at: April 17, 2026, 6:52 p.m.