Triple

T9309396
Position Surface form Disambiguated ID Type / Status
Subject Province of A Coruña E223969 entity
Predicate contains P35 FINISHED
Object Carballo E719458 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: Carballo | Statement: [Province of A Coruña, contains, Carballo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carballo
Context triple: [Province of A Coruña, contains, Carballo]
  • A. Carballo chosen
    Carballo is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its proximity to the Atlantic coast and its role as a local commercial and administrative center.
  • B. Carballo
    Carballo is a Spanish surname, likely a regional or phonetic variant of the name Carvajal.
  • C. Equirria
    Equirria was an ancient Roman festival dedicated to Mars that centered on horse races and rites connected to warfare and the agricultural year.
  • D. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • E. Bañuela
    Bañuela is the highest peak in Spain’s Sierra Morena mountain range, located in the southern part of the Iberian Peninsula.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd1daba67c819081d53545d67ef127 completed April 1, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c78dfd80819099ab75df01016319 completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:37 p.m.