Triple

T19953200
Position Surface form Disambiguated ID Type / Status
Subject Village Recorder E479611 entity
Predicate alsoKnownAs P39 FINISHED
Object The Village NE NERFINISHED

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: The Village | Statement: [Village Recorder, alsoKnownAs, The Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Village
Context triple: [Village Recorder, alsoKnownAs, The Village]
  • A. The Village
    The Village is a themed area within the Dollywood amusement park featuring shops, attractions, and classic Smoky Mountain charm.
  • B. The Village
    The Village is a small residential city in central Oklahoma that functions largely as a suburb of Oklahoma City.
  • C. The Village
    The Village is a British television series in which Abigail Cruttenden appeared, depicting life in an English village across the 20th century.
  • D. The Village
    The Village is a themed retail and leisure area within Bluewater Shopping Centre that offers a mix of restaurants, cafes, and entertainment venues in a more relaxed, open-air style setting.
  • E. The Village
    The Village is a 2019 American drama television series that follows the intertwined lives of residents in a Brooklyn apartment building who form a close-knit, family-like community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65aee23488190bd92c1593fbc241c completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.