Triple

T9079950
Position Surface form Disambiguated ID Type / Status
Subject León E217591 entity
Predicate nickname P55 FINISHED
Object La Fiera E744730 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: La Fiera | Statement: [León, nickname, La Fiera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Fiera
Context triple: [León, nickname, La Fiera]
  • A. La Fiera chosen
    La Fiera is the popular nickname of Mexican football club Club León, reflecting its fierce and aggressive playing style.
  • B. La Sagra
    La Sagra is a comarca in central Spain known for its rapidly growing towns and strategic location between Madrid and Toledo.
  • C. Feria
    "Feria" is the lively, festive final movement of Maurice Ravel’s orchestral suite *Rapsodie espagnole*, evoking the atmosphere of a Spanish fair.
  • D. Al d’Ossché
    Al d’Ossché is a notable musician recognized for his influential performances and contributions to the tradition of Appalachian dulcimer music.
  • E. Lord of Pordenone
    Lord of Pordenone was a medieval feudal title associated with the town of Pordenone in northern Italy, historically held by powerful rulers such as Ottokar II of Bohemia.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9607942c8190a21620892ce3cbe5 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe2103448190bbc09436f19c4f11 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.