Triple

T3994562
Position Surface form Disambiguated ID Type / Status
Subject Mayberry Enterprises E87068 entity
Predicate settingOfPrimaryWork P33122 FINISHED
Object fictional town of Mayberry, North Carolina 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: fictional town of Mayberry, North Carolina | Statement: [Mayberry Enterprises, settingOfPrimaryWork, fictional town of Mayberry, North Carolina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: settingOfPrimaryWork
Context triple: [Mayberry Enterprises, settingOfPrimaryWork, fictional town of Mayberry, North Carolina]
  • A. primaryWork
    Indicates that one work is the main or most significant work associated with a given entity, as opposed to other secondary or related works.
  • B. settingOfWork
    Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
  • C. settingOfWorks chosen
    Indicates that a place or environment serves as the primary setting where the events or narratives of one or more works take place.
  • D. primarySettingOf
    Indicates that a location or context serves as the main or principal setting in which an entity (such as a story, event, or activity) takes place.
  • E. subjectOfWork
    Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb81040481909b22e4c445ecae0f completed March 9, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69aef8f692008190bf4d637ffc3d3eaa completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:34 p.m.