Triple

T12682364
Position Surface form Disambiguated ID Type / Status
Subject Ins E302977 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Vinelz E986372 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: Vinelz | Statement: [Ins, hasNeighboringMunicipality, Vinelz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinelz
Context triple: [Ins, hasNeighboringMunicipality, Vinelz]
  • A. Vinelz chosen
    Vinelz is a small Swiss village in the canton of Bern, known for its location near Lake Biel and its involvement in the surrounding wine-growing area.
  • B. Vinzons
    Vinzons is a coastal municipality in the province of Camarines Norte in the Bicol Region of the Philippines, known for its agricultural economy and access to nearby island beaches.
  • C. Vinzelles
    Vinzelles is a small wine-producing village in France’s Mâconnais region, known for its white Burgundy wines made primarily from Chardonnay.
  • D. Visperad
    Visperad is a Zoroastrian liturgical text and ceremony that expands upon the Yasna ritual with additional invocations to various divine beings.
  • E. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a733a48190b55d296573c86eaf completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.