Triple

T8183374
Position Surface form Disambiguated ID Type / Status
Subject Minho region E191121 entity
Predicate hasMajorCity P316 FINISHED
Object Vizela
Vizela is a small city in northern Portugal known for its thermal baths, scenic river valley setting, and role as a local commercial and cultural center in the Minho region.
 E601020 NE FINISHED

How this triple was built (4 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: Vizela | Statement: [Minho region, hasMajorCity, Vizela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vizela
Context triple: [Minho region, hasMajorCity, Vizela]
  • A. Vizela
    Vizela is a Portuguese professional football club that competes in the country's top-tier league system.
  • B. Baia Mare
    Baia Mare is a city in northwestern Romania known for its mining history, surrounding Carpathian landscapes, and role as an important regional cultural and economic center.
  • C. Tecuci
    Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
  • D. Galați
    Galați is a major Romanian port city in eastern Romania, situated near the border with Moldova and known for its shipbuilding and steel industries.
  • E. Soroca
    Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vizela
Triple: [Minho region, hasMajorCity, Vizela]
Generated description
Vizela is a small city in northern Portugal known for its thermal baths, scenic river valley setting, and role as a local commercial and cultural center in the Minho region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vizela
Target entity description: Vizela is a small city in northern Portugal known for its thermal baths, scenic river valley setting, and role as a local commercial and cultural center in the Minho region.
  • A. Vizela chosen
    Vizela is a Portuguese professional football club that competes in the country's top-tier league system.
  • B. Baia Mare
    Baia Mare is a city in northwestern Romania known for its mining history, surrounding Carpathian landscapes, and role as an important regional cultural and economic center.
  • C. Tecuci
    Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
  • D. Galați
    Galați is a major Romanian port city in eastern Romania, situated near the border with Moldova and known for its shipbuilding and steel industries.
  • E. Soroca
    Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
  • F. None of above.

Provenance (5 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4f4ef88190ad346edad14b67ee completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf8e8f0c819096f449760ce0d240 completed April 1, 2026, 6:47 a.m.
NEDg Description generation batch_69ccc315132c8190bb0ad49232ccc3b8 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd87585148190a2d8b81ab352d123 completed April 1, 2026, 8:33 a.m.
Created at: March 30, 2026, 5:41 p.m.