Triple

T19604773
Position Surface form Disambiguated ID Type / Status
Subject City of Wood Village E470575 entity
Predicate shortName P43 FINISHED
Object Wood Village 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: Wood Village | Statement: [City of Wood Village, shortName, Wood Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wood Village
Context triple: [City of Wood Village, shortName, Wood Village]
  • A. Lakeside Village
    Lakeside Village is a resort village area within Colorado’s Keystone Resort, offering lodging, dining, and lakeside recreation for visitors.
  • B. City of Wood Village chosen
    The City of Wood Village is a small incorporated municipality in Multnomah County, Oregon, that forms part of the Portland metropolitan area.
  • C. Maplewood Village
    Maplewood Village is a charming, walkable downtown district in Maplewood, New Jersey, known for its small shops, restaurants, and community-focused atmosphere.
  • D. Heartland Village
    Heartland Village is a primarily residential neighborhood located near the center of Staten Island in New York City.
  • E. Wilsonville
    Wilsonville is a suburban city in northwestern Oregon, located south of Portland along the Willamette River and known for its mix of residential communities, industrial parks, and regional transportation links.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c6cb3c819096b8093499d8e1ad completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.