Triple

T4481821
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Mexico City Metro) E100151 entity
Predicate station P726 FINISHED
Object Chabacano E100450 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: Chabacano | Statement: [Line 2 (Mexico City Metro), station, Chabacano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chabacano
Context triple: [Line 2 (Mexico City Metro), station, Chabacano]
  • A. Chavacano chosen
    Chavacano is a Spanish-based creole language spoken in parts of the Philippines, particularly in Zamboanga City and other areas of Mindanao.
  • B. Caribbean Spanish
    Caribbean Spanish is a major regional variety of the Spanish language spoken in Caribbean countries and coastal areas, characterized by distinctive pronunciation, rhythm, and vocabulary.
  • C. Kaqchikel
    Kaqchikel is a Mayan language spoken primarily by the Kaqchikel people in the central highlands of Guatemala.
  • D. Llanito
    Llanito is a unique vernacular spoken in Gibraltar that blends Andalusian Spanish, British English, and elements from other Mediterranean languages.
  • E. Veracruz Spanish
    Veracruz Spanish is a coastal regional variety of Mexican Spanish characterized by Caribbean-influenced pronunciation and vocabulary spoken in the state of Veracruz.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dddd488190bd5dedd3c0e77247 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b63782b8588190ba34c923ed4b792d completed March 15, 2026, 4:37 a.m.
Created at: March 12, 2026, 11:36 p.m.