Triple

T3904681
Position Surface form Disambiguated ID Type / Status
Subject LA Galaxy E90576 entity
Predicate rivalry P903 FINISHED
Object El Tráfico E4244 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 Tráfico | Statement: [LA Galaxy, rivalry, El Tráfico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Tráfico
Context triple: [LA Galaxy, rivalry, El Tráfico]
  • A. El Tráfico chosen
    El Tráfico is the intense Los Angeles derby between LA Galaxy and Los Angeles FC in Major League Soccer, known for its high-scoring matches and passionate fan atmosphere.
  • B. Traffik
    Traffik is a 2018 American thriller film in which Paula Patton stars as a woman whose romantic getaway turns deadly after she and her boyfriend encounter a violent biker gang involved in human trafficking.
  • C. El Empalme
    El Empalme is a town and canton in coastal Ecuador known for its agricultural activity, particularly in the fertile lowlands of Guayas Province.
  • D. Highway to Bogotá
    Highway to Bogotá is a major roadway linking the town of Suesca with Colombia’s capital city, Bogotá.
  • E. El Caminero
    El Caminero is a major southern terminal station of Mexico City’s Metrobús bus rapid transit system.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed0fb9888190add847806555a14a completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51ca9d32881908538065ee71b31c2 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.