Triple

T9738661
Position Surface form Disambiguated ID Type / Status
Subject Mound City Group E236129 entity
Predicate nearestCity P350 FINISHED
Object Chillicothe E258476 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: Chillicothe | Statement: [Mound City Group, nearestCity, Chillicothe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chillicothe
Context triple: [Mound City Group, nearestCity, Chillicothe]
  • A. Chillicothe, Ohio chosen
    Chillicothe, Ohio is a historic city that served as an early capital in the Old Northwest and later became the first capital of the state of Ohio.
  • B. Chillicothe, Missouri
    Chillicothe, Missouri is a small city in north-central Missouri known as the birthplace of sliced bread and serving as a regional hub for agriculture and local commerce.
  • C. Springfield, Ohio
    Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
  • D. Washington Court House, Ohio
    Washington Court House, Ohio is a small city in south-central Ohio that serves as the administrative and commercial hub of Fayette County.
  • E. Piqua, Ohio
    Piqua, Ohio is a small city in western Ohio known for its historic downtown, manufacturing heritage, and location along the Great Miami River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ef43fec8190987628f401a27436 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc408b988190980db82fbd93e988 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:22 p.m.