Triple

T4639432
Position Surface form Disambiguated ID Type / Status
Subject Tartegnin E101614 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Gilly E456467 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: Gilly | Statement: [Tartegnin, neighboringMunicipality, Gilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilly
Context triple: [Tartegnin, neighboringMunicipality, Gilly]
  • A. Gilly chosen
    Gilly is a small municipality in the canton of Vaud in western Switzerland, known for its rural character and surrounding vineyards.
  • B. Gilly
    Gilly is a young wildling woman from beyond the Wall in George R. R. Martin’s A Song of Ice and Fire series, known for escaping her abusive father Craster and forming a close bond with Samwell Tarly.
  • C. Fern
    Fern is the middle-aged, van-dwelling woman at the heart of the film "Nomadland," whose journey through the American West explores themes of loss, resilience, and modern nomadic life.
  • D. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • E. Gwendolyn
    Gwendolyn is a feminine given name most famously borne by the Pulitzer Prize–winning American poet Gwendolyn Brooks.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a8e0ee88190becab97d2ef1571a completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69be036d7aa081908b4b361dbae8ebc7 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:13 p.m.