Triple

T14783873
Position Surface form Disambiguated ID Type / Status
Subject Me and Little Andy E347459 entity
Predicate impliedSetting P15599 FINISHED
Object a rural American community LITERAL 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: a rural American community | Statement: [Me and Little Andy, impliedSetting, a rural American community]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: impliedSetting
Context triple: [Me and Little Andy, impliedSetting, a rural American community]
  • A. impliedRight
    Indicates that one party holds a right or entitlement that is not explicitly stated but is inferred from context, agreements, or established norms.
  • B. coversSetting
    Indicates that one entity includes or addresses a particular setting or context within its scope.
  • C. usedAsSettingFor chosen
    Indicates that one entity serves as the backdrop, location, or environment in which another entity (such as an event, story, or activity) takes place.
  • D. laterDefinedSetting
    Indicates that a particular setting is defined or specified at a later point in time relative to another reference or context.
  • E. setting
    Indicates the place, time, or context in which an event, action, or interaction occurs.
  • F. None of above.

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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 completed April 14, 2026, 11:15 p.m.
PD Predicate disambiguation batch_69de8c090d1081909b5a9bf437499d6c completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:31 a.m.