Triple

T22715130
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan area of Taranto E561708 entity
Predicate hasMunicipality P847 FINISHED
Object Statte E528062 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: Statte | Statement: [Metropolitan area of Taranto, hasMunicipality, Statte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Statte
Context triple: [Metropolitan area of Taranto, hasMunicipality, Statte]
  • A. Statte chosen
    Statte is a small Italian municipality in the Apulia region, known for its proximity to Taranto and its mix of industrial areas and rural landscapes.
  • B. Stattegg
    Stattegg is a municipality in the Austrian state of Styria, located just north of the city of Graz.
  • C. Staton
    Staton is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
  • D. Estaing
    Estaing is a historic village in the Aveyron department of southern France, known for its medieval architecture and picturesque setting along the Lot River.
  • E. Μελινταού
    Μελινταού είναι μια από τις υψηλότερες και πιο γνωστές κορυφές των Λευκών Ορέων στην Κρήτη, δημοφιλής προορισμός για ορειβατικές και πεζοπορικές διαδρομές.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790ca59881909064d49f331fb711 completed April 29, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7edd69648190af49c198a389798f completed May 18, 2026, 9:04 p.m.
Created at: April 17, 2026, 3:18 p.m.