Triple

T4394273
Position Surface form Disambiguated ID Type / Status
Subject DePauw University E99446 entity
Predicate locatedIn P40 FINISHED
Object Greencastle, Indiana E146602 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: Greencastle, Indiana | Statement: [DePauw University, locatedIn, Greencastle, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greencastle, Indiana
Context triple: [DePauw University, locatedIn, Greencastle, Indiana]
  • A. Greencastle, Indiana chosen
    Greencastle, Indiana is a small city in Putnam County best known as the home of DePauw University.
  • B. Roanoke, Indiana
    Roanoke, Indiana is a small town in Huntington County known for its proximity to Fort Wayne and its mix of rural charm and light industrial and commercial development.
  • C. Pennville, Indiana
    Pennville, Indiana is an unincorporated community located in Wayne County in the eastern part of the state.
  • D. Jacksonburg, Indiana
    Jacksonburg, Indiana is a small unincorporated rural community located in Wayne County in the eastern part of the state.
  • E. Centerville, Indiana
    Centerville, Indiana is a small historic town in eastern Indiana known for its well-preserved 19th-century architecture and role as a former county seat.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352a9c8b88190a7894a40be4996f0 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6135919d08190abab3858ff01bf11 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:20 p.m.