Triple

T9941172
Position Surface form Disambiguated ID Type / Status
Subject Martín E194083 entity
Predicate hasSyllableStructure P19239 FINISHED
Object Mar-tín E194083 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: Mar-tín | Statement: [Martín, hasSyllableStructure, Mar-tín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mar-tín
Context triple: [Martín, hasSyllableStructure, Mar-tín]
  • A. Martín chosen
    Martín is a masculine given name of Latin origin, commonly used in Spanish-speaking countries and derived from the name Martinus, associated with the Roman god Mars.
  • B. Martín (Hache)
    Martín (Hache) is a 1997 Argentine-Spanish drama film that explores generational conflict, identity, and disillusionment through the strained relationship between a troubled young man and his estranged father in Madrid.
  • C. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • D. Martínez
    Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
  • E. Emiliano
    Emiliano is a masculine given name of Spanish and Italian origin, derived from the Roman family name Aemilius.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb610905c81909d669265c92021a5 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281d5f6188190a7e657b1bd9bc607 completed April 5, 2026, 3:37 p.m.
Created at: March 30, 2026, 8:44 p.m.