Triple

T11437602
Position Surface form Disambiguated ID Type / Status
Subject Putumayo E271049 entity
Predicate hasCity P316 FINISHED
Object Villagarzón E731727 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: Villagarzón | Statement: [Putumayo, hasCity, Villagarzón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villagarzón
Context triple: [Putumayo, hasCity, Villagarzón]
  • A. Villagarzón chosen
    Villagarzón is a municipality and town located in the Putumayo Department of southern Colombia, known for its rainforest environment and agricultural activities.
  • B. Villanúa
    Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
  • C. Higuillar
    Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
  • D. Vilalba
    Vilalba is a town in the province of Lugo in Galicia, northwestern Spain, known as the birthplace of several notable Galician political and cultural figures.
  • E. Villalba
    Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088711ec8190afae9f4d9f2a11ca completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d38727fc8190b5daac83e03491e6 completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.