Triple

T15068655
Position Surface form Disambiguated ID Type / Status
Subject Leiria District E379818 entity
Predicate containsMunicipality P852 FINISHED
Object Figueiró dos Vinhos E374167 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: Figueiró dos Vinhos | Statement: [Leiria District, containsMunicipality, Figueiró dos Vinhos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Figueiró dos Vinhos
Context triple: [Leiria District, containsMunicipality, Figueiró dos Vinhos]
  • A. Figueiró dos Vinhos chosen
    Figueiró dos Vinhos is a municipality in central Portugal known for its forested landscapes, river beaches, and traditional rural character.
  • B. Arruda dos Vinhos
    Arruda dos Vinhos is a Portuguese municipality and wine-producing town located in the Lisbon metropolitan area.
  • C. Barreiro da Faneca
    Barreiro da Faneca is a locality in Portugal, likely a small settlement or geographic area whose name refers to a characteristic landscape or historical feature.
  • D. Vila Real de Santo António
    Vila Real de Santo António is a coastal town and municipality in Portugal’s Algarve region, located at the mouth of the Guadiana River on the border with Spain.
  • E. Dão-Lafões
    Dão-Lafões is a subregion in central Portugal known for its mountainous landscapes, thermal spas, and production of Dão wines.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeebc7e48190a86b4f0afe8844bb completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cd4b6c8190aa9ff73d5be31864 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.