Triple

T11341095
Position Surface form Disambiguated ID Type / Status
Subject Jackson County, Indiana E268595 entity
Predicate hasTown P847 FINISHED
Object Brownstown, Indiana E941267 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: Brownstown, Indiana | Statement: [Jackson County, Indiana, hasTown, Brownstown, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brownstown, Indiana
Context triple: [Jackson County, Indiana, hasTown, Brownstown, Indiana]
  • A. Brownstown, Indiana chosen
    Brownstown, Indiana is a small town in southern Indiana known as an administrative and community hub for the surrounding rural area.
  • B. Westville, Indiana
    Westville, Indiana is a small town in northwestern Indiana known for its rural character and proximity to larger cities like Michigan City and South Bend.
  • 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. Merrillville, Indiana
    Merrillville, Indiana is a suburban town in Lake County within the Chicago metropolitan area, known as a regional retail and commercial hub in northwest Indiana.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea01c6c08190910a6ce8fb7e186d completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f08f0d9d0c8190a7b84e647c7491e9 completed April 28, 2026, 10:42 a.m.
Created at: April 8, 2026, 9:33 p.m.