Triple

T17531271
Position Surface form Disambiguated ID Type / Status
Subject Christian County, Illinois E426937 entity
Predicate hasSettlement P1068 FINISHED
Object Kincaid, Illinois 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: Kincaid, Illinois | Statement: [Christian County, Illinois, hasSettlement, Kincaid, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kincaid, Illinois
Context triple: [Christian County, Illinois, hasSettlement, Kincaid, Illinois]
  • A. Kincaid, Illinois chosen
    Kincaid, Illinois is a small village located in central Illinois within the Springfield metropolitan area.
  • B. Kenney, Illinois
    Kenney, Illinois is a small rural village located in De Witt County in the central part of the U.S. state of Illinois.
  • C. Keensburg, Illinois
    Keensburg, Illinois is a small village located in southeastern Illinois within Wabash County.
  • D. Ivesdale, Illinois
    Ivesdale, Illinois is a small rural village located in central Illinois within Champaign County.
  • E. Kewanee, Illinois
    Kewanee, Illinois is a small city in Henry County known historically for its agricultural roots and manufacturing, particularly in farm equipment and boilers.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e453688950819098162d853cd2674e completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.