Triple

T17897482
Position Surface form Disambiguated ID Type / Status
Subject Middleburg, Pennsylvania E447467 entity
Predicate isCountySeatOf P383 FINISHED
Object Snyder County 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: Snyder County | Statement: [Middleburg, Pennsylvania, isCountySeatOf, Snyder County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snyder County
Context triple: [Middleburg, Pennsylvania, isCountySeatOf, Snyder County]
  • A. Snyder County chosen
    Snyder County is a rural county in central Pennsylvania known for its small-town communities, agricultural landscape, and location along the Susquehanna River.
  • B. Crawford County
    Crawford County is a rural county in central Georgia known for its agricultural landscape and small-town communities west of Macon.
  • C. Crawford County
    Crawford County is a rural county in the northern Lower Peninsula of Michigan, known for its forests, rivers, and outdoor recreation opportunities.
  • D. Oleckie County
    Oleckie County is a local government and administrative district in the Warmian-Masurian Voivodeship of northeastern Poland, centered around the town of Olecko.
  • E. Lesko County
    Lesko County is an administrative district in southeastern Poland, known for its mountainous landscapes in the Bieszczady region and proximity to the Slovak and Ukrainian borders.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d8122b481909992356f3f575858 completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:19 a.m.