Triple

T13235020
Position Surface form Disambiguated ID Type / Status
Subject Tampico E315121 entity
Predicate locatedNear P294 FINISHED
Object Sterling, Illinois E391234 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: Sterling, Illinois | Statement: [Tampico, locatedNear, Sterling, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sterling, Illinois
Context triple: [Tampico, locatedNear, Sterling, Illinois]
  • A. Sterling, Illinois chosen
    Sterling, Illinois is a small city in northwestern Illinois known historically for its manufacturing industry and location along the Rock River.
  • B. Steger, Illinois
    Steger, Illinois is a suburban village in the Chicago metropolitan area that spans both Will and Cook counties.
  • C. Kenilworth, Illinois
    Kenilworth, Illinois is a small, affluent North Shore suburb of Chicago known for its planned residential character and high-quality schools.
  • D. Elwood, Illinois
    Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
  • E. Lansing, Illinois
    Lansing, Illinois is a suburban village in the south suburbs of Chicago known for its residential character and proximity to major transportation routes.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d36bdf8819099949b1e0e6902d3 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea598fd888190b53ab937bad1d824 completed May 9, 2026, 3:10 a.m.
Created at: April 9, 2026, 9:22 p.m.