Triple

T15145950
Position Surface form Disambiguated ID Type / Status
Subject Dòira Ripària E361806 entity
Predicate mouthLocatedInCity P32498 FINISHED
Object Turin E15144 NE FINISHED

How this triple was built (3 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: Turin | Statement: [Dòira Ripària, mouthLocatedInCity, Turin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turin
Context triple: [Dòira Ripària, mouthLocatedInCity, Turin]
  • A. Turin chosen
    Turin is a major city in northern Italy known for its rich history, Baroque architecture, automotive industry, and role as a cultural and economic hub.
  • B. Turin
    Turin is a small town located in Coweta County in the U.S. state of Georgia.
  • C. Turin
    Turin is the codename for a generation of AMD EPYC server processors based on the Zen 5 architecture, targeting high-performance and data center workloads.
  • D. Metropolitan City of Turin
    The Metropolitan City of Turin is an Italian administrative region in Piedmont that encompasses the city of Turin and its surrounding municipalities, coordinating local governance, infrastructure, and regional development.
  • E. Milano
    Milano is a popular line of chocolate-filled sandwich cookies produced by Pepperidge Farm, a subsidiary of Campbell Soup Company.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mouthLocatedInCity
Context triple: [Dòira Ripària, mouthLocatedInCity, Turin]
  • A. mouthLocatedInAdministrativeEntity chosen
    Indicates that the place where a river ends (its mouth) is situated within a specific administrative region or jurisdiction.
  • B. mouthOf
    Indicates the location where one entity (typically a river or similar feature) empties into or opens out into another, larger body or feature.
  • C. hasMouthPositionRelativeToCity
    Indicates the spatial position of a river’s mouth in relation to a specified city.
  • D. cityAtMouth
    Indicates that a city is located at or very near the mouth (outlet) of a river.
  • E. containsMouthOf
    Indicates that one entity geographically includes or encompasses the mouth (outflow point) of another entity, such as a river or stream.
  • F. None of above.

Provenance (4 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c71b688190b2e8ccfdf4db9037 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed31debb48190908d59178e67adb6 completed May 9, 2026, 6:24 a.m.
PD Predicate disambiguation batch_69deb9713fe881909dec2fd3f6c84b39 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:07 a.m.