Triple

T5975317
Position Surface form Disambiguated ID Type / Status
Subject Zaragoza province E132970 entity
Predicate contains P35 FINISHED
Object Caspe E300930 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: Caspe | Statement: [Zaragoza province, contains, Caspe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caspe
Context triple: [Zaragoza province, contains, Caspe]
  • A. Caspe chosen
    Caspe is a historic town in the province of Zaragoza, Aragon, Spain, known for its strategic location and its role in medieval Iberian politics.
  • B. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • C. Valcheta
    Valcheta is a small town in northern Patagonia, Argentina, known as a local service and transport hub within Río Negro Province.
  • D. Andújar
    Andújar is a historic town in the province of Jaén, Andalusia, Spain, known for its olive oil production and its location near the Sierra de Andújar Natural Park.
  • E. Ferrera
    Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a39c9d08190a78e1e3268584eb5 completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e41459c88190a9e0ee0321946e57 completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:04 p.m.