Triple

T2755120
Position Surface form Disambiguated ID Type / Status
Subject Copa Chile E61081 entity
Predicate alsoKnownAs P39 FINISHED
Object Copa Chile Easy E61081 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: Copa Chile Easy | Statement: [Copa Chile, alsoKnownAs, Copa Chile Easy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copa Chile Easy
Context triple: [Copa Chile, alsoKnownAs, Copa Chile Easy]
  • A. Copa Chile chosen
    Copa Chile is Chile's primary national football cup competition, featuring clubs from various divisions in a knockout tournament format.
  • B. Chile Vamos
    Chile Vamos is a center-right political coalition in Chile that brings together several conservative and liberal parties and has supported leaders such as former president Sebastián Piñera.
  • C. Cobresal
    Cobresal is a Chilean professional football club known for competing in the country’s top divisions and developing notable players such as Iván Zamorano.
  • D. Pirque
    Pirque is a rural commune and town in central Chile known for its vineyards, agricultural landscapes, and proximity to Santiago.
  • E. Monumental de Colo-Colo
    Monumental de Colo-Colo is a major football stadium in Santiago, Chile, best known as the home ground of the club Colo-Colo.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb718f4c8190bfc34c6597163ebc completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbdd509c8190ac62aa6d50dea3a6 completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:56 p.m.