Triple

T1882405
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles FC E39881 entity
Predicate derby P3425 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: [Los Angeles FC, derby, El Tráfico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Tráfico
Context triple: [Los Angeles FC, derby, 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. El Caminero
    El Caminero is a major southern terminal station of Mexico City’s Metrobús bus rapid transit system.
  • C. Tren Urbano
    Tren Urbano is a rapid transit rail system serving the San Juan metropolitan area in Puerto Rico, providing urban mass transportation across key municipalities.
  • D. Encruzilhada
    Encruzilhada is a neighborhood in the city of Recife, Brazil, known for its busy commercial areas and urban residential character.
  • E. El Jaleo
    El Jaleo is a dramatic 1882 painting by John Singer Sargent depicting a Spanish gypsy dancer performing with musicians in a shadowy, theatrical setting.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fd4d6881908b8266bdae1517ce completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5eabd8819089f267db92993033 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.