Triple

T10426230
Position Surface form Disambiguated ID Type / Status
Subject City of Urbana E245796 entity
Predicate hasNeighbor P5707 FINISHED
Object Philo, Illinois E211129 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: Philo, Illinois | Statement: [City of Urbana, hasNeighbor, Philo, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philo, Illinois
Context triple: [City of Urbana, hasNeighbor, Philo, Illinois]
  • A. Philo, Illinois chosen
    Philo, Illinois is a small rural village located in east-central Illinois, southeast of the city of Champaign.
  • B. Phoenix, Illinois
    Phoenix, Illinois is a small village in Cook County, Illinois, located in the south suburban area of Chicago.
  • C. Elwood, Illinois
    Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
  • D. LaPlace, Illinois
    LaPlace, Illinois is a small rural village located in Piatt County in central Illinois.
  • E. Morrison, Illinois
    Morrison, Illinois is a small city in Whiteside County that serves as the county seat and lies within northwestern Illinois.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea48cb348190ad4432f263300592 completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc2b50b48190b1d5b29d19a240c2 completed April 9, 2026, 7:21 p.m.
Created at: April 6, 2026, 12:12 p.m.