Triple

T17369351
Position Surface form Disambiguated ID Type / Status
Subject Club Estudiantes de La Plata E422269 entity
Predicate nickname P55 FINISHED
Object El Pincha E678727 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: El Pincha | Statement: [Club Estudiantes de La Plata, nickname, El Pincha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Pincha
Context triple: [Club Estudiantes de La Plata, nickname, El Pincha]
  • A. El Pincha chosen
    El Pincha is the traditional nickname of Argentine football club Estudiantes de La Plata, reflecting its historic identity and fan culture.
  • B. Piñan
    Piñan is a rural municipality in the Philippine province of Zamboanga del Norte known for its agricultural economy and small-town character.
  • C. El Arreglito
    El Arreglito is a song by Spanish composer Sebastián Iradier whose melody later became famous worldwide as the basis for the "Habanera" aria in Bizet’s opera Carmen.
  • D. Piñol
    Piñol is a Spanish-language surname historically associated with prominent families in Central America.
  • E. Los Pedroches
    Los Pedroches is a rural comarca in northern Córdoba, Spain, known for its extensive dehesa landscapes, holm oak forests, and Iberian pig farming.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6842388190940235198fa50041 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.