Triple

T17777929
Position Surface form Disambiguated ID Type / Status
Subject San Antonio Abad E443820 entity
Predicate adjacentStation P5707 FINISHED
Object Chabacano NE NERFINISHED

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: [San Antonio Abad, adjacentStation, Chabacano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chabacano
Context triple: [San Antonio Abad, adjacentStation, Chabacano]
  • A. Chabacano chosen
    Chabacano is a major Mexico City Metro transfer station that connects multiple lines and serves as an important transit hub in the city’s network.
  • B. Chavacano
    Chavacano is a Spanish-based creole language spoken in parts of the Philippines, particularly in Zamboanga City and other areas of Mindanao.
  • C. 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.
  • D. Chicano Spanish
    Chicano Spanish is a U.S. Spanish variety shaped by Mexican heritage, English contact, and Chicano cultural identity, featuring distinctive vocabulary, code-switching, and regional expressions.
  • E. Kaqchikel
    Kaqchikel is a Mayan language spoken primarily by the Kaqchikel people in the central highlands of Guatemala.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871e06a481909cf6d59e49dc21c5 completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.