Triple

T5990157
Position Surface form Disambiguated ID Type / Status
Subject Telfair County E133327 entity
Predicate formedFrom P402 FINISHED
Object Pulaski County E131138 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: Pulaski County | Statement: [Telfair County, formedFrom, Pulaski County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pulaski County
Context triple: [Telfair County, formedFrom, Pulaski County]
  • A. Pulaski County chosen
    Pulaski County is a rural county in central Georgia known for its agricultural landscape and the city of Hawkinsville as its county seat.
  • B. Stephenson County
    Stephenson County is a county in northern Illinois known for its agricultural landscape, small towns, and historic connection to figures like Jane Addams, who was born in Cedarville.
  • C. McCracken County
    McCracken County is a county in western Kentucky best known for its seat, the river city of Paducah, a regional hub for commerce, healthcare, and education.
  • D. Łask County
    Łask County is an administrative district in central Poland, situated within the Łódź region and centered around the town of Łask.
  • E. Sherman County
    Sherman County is a sparsely populated rural county in the far northern part of the Texas Panhandle, known for its agriculture and wide-open High Plains landscape.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc8ab648190beb1bc141796894e completed March 22, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16e985f34819091d28debdd5a2950 completed March 23, 2026, 4:47 p.m.
Created at: March 22, 2026, 4:05 p.m.