Triple

T16045632
Position Surface form Disambiguated ID Type / Status
Subject Roebling Park E389210 entity
Predicate county P75 FINISHED
Object Butler County unclear NED1 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: Butler County | Statement: [Roebling Park, county, Butler County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butler County
Context triple: [Roebling Park, county, Butler County]
  • A. Butler County
    Butler County is a county in western Pennsylvania, north of Pittsburgh, known for its mix of suburban communities, rural landscapes, and growing industrial and service sectors.
  • B. Butler County
    Butler County is a rural county in south-central Alabama known for its pine forests, small towns, and location along the Interstate 65 corridor.
  • C. Butler County
    Butler County is a rural county in north-central Iowa known for its agricultural landscape and small communities.
  • D. Butler County
    Butler County is a rural county in eastern Nebraska known for its agricultural landscape and small communities.
  • E. Butler County
    Butler County is a county in southwestern Ohio that includes communities such as Millville and is part of the Greater Cincinnati metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835dd9a0819087e362cf5770232a completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00a502c82881908d5b6f7c23e8a403 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 4:56 a.m.