Triple

T19805529
Position Surface form Disambiguated ID Type / Status
Subject Fier E475801 entity
Predicate countrySubdivision P766 FINISHED
Object Fier 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: Fier County | Statement: [Fier, countrySubdivision, Fier County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fier County
Context triple: [Fier, countrySubdivision, Fier County]
  • A. Fier County chosen
    Fier County is an administrative region in southwestern Albania known for its agricultural plains, oil industry, and archaeological sites such as the ancient city of Apollonia.
  • B. Vaslui County
    Vaslui County is an administrative region in eastern Romania known for its historical towns and predominantly rural landscape.
  • C. Lynn County
    Lynn County is a rural county in the U.S. state of Texas, located south of Lubbock on the Southern High Plains and known for its agriculture-based economy.
  • D. Landeh County
    Landeh County is an administrative subdivision in southwestern Iran, located within Kohgiluyeh and Boyer-Ahmad Province.
  • E. Menard County
    Menard County is a rural county in central Illinois known for its agricultural landscape and small communities, including the village of Tallula.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65428081c8190b394c442f4c2a9a6 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.