Triple

T10575511
Position Surface form Disambiguated ID Type / Status
Subject Cornellà Centre E249601 entity
Predicate fareZone P844 FINISHED
Object ATM Àrea de Barcelona zone 1 E253346 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: ATM Àrea de Barcelona zone 1 | Statement: [Cornellà Centre, fareZone, ATM Àrea de Barcelona zone 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ATM Àrea de Barcelona zone 1
Context triple: [Cornellà Centre, fareZone, ATM Àrea de Barcelona zone 1]
  • A. ATM Barcelona chosen
    ATM Barcelona is the public transport authority responsible for coordinating and managing the metropolitan transit system in the Barcelona area.
  • B. Barcelona Free Zone plant
    The Barcelona Free Zone plant is a major SEAT automobile manufacturing facility located in Barcelona’s industrial free trade area.
  • C. Chivo ATMs
    Chivo ATMs are El Salvador’s state-backed cryptocurrency cash machines that let users buy, sell, and withdraw Bitcoin as part of the country’s national Bitcoin adoption initiative.
  • D. ATM
    ATM is the commonly used abbreviation for Atlético de Madrid, the Spanish professional football club nicknamed "Los Colchoneros."
  • E. ATM
    "ATM" is a hit single by rapper J. Cole known for its commentary on materialism and catchy "count it up" refrain.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274b100c8190b477ef4cb745c269 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e78ad6c81909eaa0cdc41c5cc82 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:38 p.m.