Triple

T11800349
Position Surface form Disambiguated ID Type / Status
Subject Eaubonne E280606 entity
Predicate hasTwinTown P919 FINISHED
Object Vila Verde E327968 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: Vila Verde | Statement: [Eaubonne, hasTwinTown, Vila Verde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vila Verde
Context triple: [Eaubonne, hasTwinTown, Vila Verde]
  • A. Vila Verde chosen
    Vila Verde is a municipality in the Braga District of northern Portugal, known for its rural landscapes and traditional Minho culture.
  • B. Vila Viçosa
    Vila Viçosa is a historic town in Portugal renowned for its marble quarries and as a former residence of the Portuguese royal family.
  • C. Vila Nova da Barquinha
    Vila Nova da Barquinha is a small Portuguese municipality known for its riverside setting along the Tagus River and its historic castle of Almourol.
  • D. Vila do Porto
    Vila do Porto is the main town and oldest settlement in the Azores, located on Santa Maria Island in Portugal.
  • E. Vinhedo
    Vinhedo is a municipality in southeastern Brazil known for its high quality of life, proximity to Campinas, and attractions such as the Hopi Hari theme park and annual grape festival.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a4512c8190b7782e1dee053000 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131110aa081909aa0b0d532e473a5 completed April 28, 2026, 10:13 p.m.
Created at: April 8, 2026, 9:42 p.m.