Triple

T10256960
Position Surface form Disambiguated ID Type / Status
Subject Harwood, Missouri E240495 entity
Predicate hasOfficialName P66 FINISHED
Object Harwood, Missouri E240495 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: Harwood, Missouri | Statement: [Harwood, Missouri, hasOfficialName, Harwood, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harwood, Missouri
Context triple: [Harwood, Missouri, hasOfficialName, Harwood, Missouri]
  • A. Harwood, Missouri chosen
    Harwood, Missouri is a small rural village located in Vernon County in the western part of the state.
  • B. Waverly, Missouri
    Waverly, Missouri is a small town in central Missouri along the Missouri River, historically known as an agricultural community.
  • C. Hopkins, Missouri
    Hopkins, Missouri is a small rural city located in Nodaway County in the northwest region of the state near the Iowa border.
  • D. Rinehart, Missouri
    Rinehart, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
  • E. Calhoun, Missouri
    Calhoun, Missouri is a small rural village located in Henry County in the west-central region of the state.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24d299881909615872e2777bdea completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74ff21edc8190b8b4a6967510a869 completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:31 a.m.