Triple

T8308409
Position Surface form Disambiguated ID Type / Status
Subject Sucre, Colombia E194522 entity
Predicate hasMunicipality P847 FINISHED
Object Tolú E565833 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: Tolú | Statement: [Sucre, Colombia, hasMunicipality, Tolú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tolú
Context triple: [Sucre, Colombia, hasMunicipality, Tolú]
  • A. Tolú chosen
    Tolú is a coastal municipality and popular tourist destination on Colombia’s Caribbean Sea, known for its beaches and proximity to the Gulf of Morrosquillo.
  • B. Tolomako
    Tolomako is an Oceanic language spoken on Espiritu Santo in Vanuatu, known for its relatively simple phonology and grammar.
  • C. Tonalá
    Tonalá is a municipality and city in the Guadalajara metropolitan area of Jalisco, Mexico, known for its traditional pottery and handicrafts.
  • D. Tola
    Tola is a minor judge of Israel mentioned in the biblical Book of Judges, known for leading and delivering Israel for 23 years after the time of Abimelech.
  • E. Tinajo
    Tinajo is a rural municipality on the western side of Lanzarote in Spain’s Canary Islands, known for its volcanic landscapes and proximity to Timanfaya National Park.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2c06608190bd21633af07a530b completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955bd69081909d669139c576efb8 completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:54 p.m.