Triple

T9682281
Position Surface form Disambiguated ID Type / Status
Subject Milo, Missouri E234311 entity
Predicate hasOfficialName P66 FINISHED
Object Milo, Missouri E234311 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: Milo, Missouri | Statement: [Milo, Missouri, hasOfficialName, Milo, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milo, Missouri
Context triple: [Milo, Missouri, hasOfficialName, Milo, Missouri]
  • A. Milo, Missouri chosen
    Milo, Missouri is a small village located in southwestern Missouri within Vernon County.
  • B. Milford, Missouri
    Milford, Missouri is a small unincorporated rural community located in Vernon County in the western part of the state.
  • C. Miller, Missouri
    Miller, Missouri is a small rural city in southwestern Missouri that serves as one of the local communities within Lawrence County.
  • D. Elmo, Missouri
    Elmo, Missouri is a small rural village located in Nodaway County in the northwestern part of the state.
  • E. Mokane, Missouri
    Mokane, Missouri is a small village in central Missouri known for its location along the Missouri River and its historic ties to the Missouri–Kansas–Texas (MKT) railroad.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ccdbcc48190a4a9a70b3f419ac2 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910192e88190b10409ae62c1c948 completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:16 p.m.