Triple

T7162477
Position Surface form Disambiguated ID Type / Status
Subject Munster, Indiana E166979 entity
Predicate adjacentTo P224 FINISHED
Object Lansing, Illinois E33351 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: Lansing, Illinois | Statement: [Munster, Indiana, adjacentTo, Lansing, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lansing, Illinois
Context triple: [Munster, Indiana, adjacentTo, Lansing, Illinois]
  • A. Lansing, Illinois chosen
    Lansing, Illinois is a suburban village in the south suburbs of Chicago known for its residential character and proximity to major transportation routes.
  • B. Newark, Illinois
    Newark, Illinois is a small rural village in northern Illinois known for its agricultural surroundings and close-knit community.
  • C. Ottawa, Illinois
    Ottawa, Illinois is a historic city in northern Illinois known for its location at the confluence of the Fox and Illinois Rivers and as the site of the first Lincoln–Douglas debate.
  • D. Montgomery, Illinois
    Montgomery, Illinois is a suburban village in the Chicago metropolitan area spanning Kane and Kendall counties along the Fox River.
  • E. Elwood, Illinois
    Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82e4b248190ad3c3863cb93971e completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a1fd9ecc8190a6a136778422f264 completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 2:47 p.m.