Triple

T15114499
Position Surface form Disambiguated ID Type / Status
Subject O'Fallon, Illinois E360999 entity
Predicate borderedBy P224 FINISHED
Object Lebanon, Illinois E849099 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: Lebanon, Illinois | Statement: [O'Fallon, Illinois, borderedBy, Lebanon, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lebanon, Illinois
Context triple: [O'Fallon, Illinois, borderedBy, Lebanon, Illinois]
  • A. Lebanon, Illinois chosen
    Lebanon, Illinois is a small city in southwestern Illinois known for its historic downtown and as the home of McKendree University, the oldest college in the state.
  • B. LaPlace, Illinois
    LaPlace, Illinois is a small rural village located in Piatt County in central Illinois.
  • C. Morrison, Illinois
    Morrison, Illinois is a small city in Whiteside County that serves as the county seat and lies within northwestern Illinois.
  • D. Leland, Illinois
    Leland, Illinois is a small rural village located in north-central Illinois within LaSalle County.
  • E. Leonore, Illinois
    Leonore, Illinois is a small village located in LaSalle County in north-central Illinois, United States.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff28b707481908611ae8e23de3294 completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 3:05 a.m.