Triple

T3472470
Position Surface form Disambiguated ID Type / Status
Subject Hammond, Indiana E73294 entity
Predicate borderedBy P224 FINISHED
Object Munster, Indiana E166979 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: Munster, Indiana | Statement: [Hammond, Indiana, borderedBy, Munster, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munster, Indiana
Context triple: [Hammond, Indiana, borderedBy, Munster, Indiana]
  • A. Munster, Indiana chosen
    Munster, Indiana is a suburban town in northwest Indiana near the Illinois border, known for its residential communities, strong school system, and proximity to the Chicago metropolitan area.
  • B. 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.
  • C. Milton, Indiana
    Milton, Indiana is a small rural town located in eastern Indiana within Wayne County.
  • D. Kouts, Indiana
    Kouts, Indiana is a small rural town located in northwestern Indiana within the Chicago metropolitan region.
  • E. DeMotte, Indiana
    DeMotte, Indiana is a small town in Jasper County known as a rural Midwestern community and the birthplace of prominent U.S. Congressman Charles A. Halleck.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3cc8488190b97c732e3f600a90 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4daeff8c0819097e60f893e6669d5 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:17 p.m.