Triple

T7217641
Position Surface form Disambiguated ID Type / Status
Subject Boone County, Indiana E150175 entity
Predicate countySeat P383 FINISHED
Object Lebanon, Indiana E564265 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: Lebanon, Indiana | Statement: [Boone County, Indiana, countySeat, Lebanon, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lebanon, Indiana
Context triple: [Boone County, Indiana, countySeat, Lebanon, Indiana]
  • A. Lebanon, Indiana chosen
    Lebanon, Indiana is a small Midwestern city in central Indiana known for its historic downtown and role as a regional commercial and civic hub.
  • B. Lebanon, Ohio
    Lebanon, Ohio is a historic small city in Warren County known for its preserved 19th-century downtown, antique shops, and role as a regional cultural and commercial center between Cincinnati and Dayton.
  • C. Mishawaka, Indiana
    Mishawaka, Indiana is a city in northern Indiana near South Bend, known for its manufacturing history and as the longtime base of vehicle maker AM General.
  • D. Ellettsville, Indiana
    Ellettsville, Indiana is a small town in southern Indiana known for its limestone industry heritage and proximity to Bloomington.
  • E. Wabash, Indiana
    Wabash, Indiana is a small Midwestern city known for its historic downtown and for being one of the first electrically lighted cities in the world.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e99170d88190b1aef326a7d81134 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e51b3ae88190b7d03aa59d6910f5 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:53 p.m.