Triple

T15086429
Position Surface form Disambiguated ID Type / Status
Subject Grande Torino E360284 entity
Predicate cityOfTragicEvent P10973 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: [Grande Torino, cityOfTragicEvent, Turin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turin
Context triple: [Grande Torino, cityOfTragicEvent, 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: cityOfTragicEvent
Context triple: [Grande Torino, cityOfTragicEvent, Turin]
  • A. mainCityDestroyed
    Indicates that the primary or central city associated with an entity has been destroyed.
  • B. affectedCity chosen
    Indicates that a particular city is impacted or influenced by a specified event, action, or condition.
  • C. cityDepicted
    Indicates that a work (such as an image, artwork, or document) visually or representationally depicts a particular city.
  • D. cityOfVenue
    Indicates the city in which a given venue is located.
  • E. deathCity
    Indicates the city in which an entity (typically a person) died.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00276d1608190bc310d5b86ecd1d5 completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed31debb48190908d59178e67adb6 completed May 9, 2026, 6:24 a.m.
PD Predicate disambiguation batch_69deb9645b9c8190a5712456dbd78029 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:03 a.m.