Triple

T9094336
Position Surface form Disambiguated ID Type / Status
Subject Phoenix, Illinois E217975 entity
Predicate hasName P744 FINISHED
Object Phoenix, Illinois E217975 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: Phoenix, Illinois | Statement: [Phoenix, Illinois, hasName, Phoenix, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phoenix, Illinois
Context triple: [Phoenix, Illinois, hasName, Phoenix, Illinois]
  • A. Phoenix, Illinois chosen
    Phoenix, Illinois is a small village in Cook County, Illinois, located in the south suburban area of Chicago.
  • B. La Fox, Illinois
    La Fox, Illinois is an unincorporated community in Kane County, Illinois, known primarily for its commuter rail station providing access to the Chicago metropolitan area.
  • C. Pekin, Illinois
    Pekin, Illinois is a small city in central Illinois along the Illinois River, historically known for its manufacturing base and as the hometown of longtime U.S. Senator Everett Dirksen.
  • D. El Paso, Illinois
    El Paso, Illinois is a small Midwestern city in Woodford County known historically as a railroad town and part of the Peoria metropolitan area.
  • E. Paxton, Illinois
    Paxton, Illinois is a small city in central Illinois that serves as an administrative, commercial, and community hub for the surrounding rural region.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b4a2e0819092f4eae8b1d21f33 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03014ea488190abc71a0ee182bcad completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:14 p.m.