Triple

T3908738
Position Surface form Disambiguated ID Type / Status
Subject Comunidade Intermunicipal do Douro E87269 entity
Predicate hasMemberMunicipality P47323 FINISHED
Object Tarouca
Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
 E397321 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: Tarouca | Statement: [Comunidade Intermunicipal do Douro, hasMemberMunicipality, Tarouca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tarouca
Context triple: [Comunidade Intermunicipal do Douro, hasMemberMunicipality, Tarouca]
  • A. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • B. Tackley
    Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
  • C. Avallon
    Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
  • D. Charcas
    Charcas is the former name of the Bolivian city now known as Sucre, a historic colonial center and constitutional capital of Bolivia.
  • E. Firebaugh
    Firebaugh is a small agricultural city in California’s San Joaquin Valley, known for its farming-based economy and rural community character.
  • 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: Tarouca
Triple: [Comunidade Intermunicipal do Douro, hasMemberMunicipality, Tarouca]
Generated description
Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tarouca
Target entity description: Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
  • A. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • B. Tackley
    Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
  • C. Avallon
    Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
  • D. Charcas
    Charcas is the former name of the Bolivian city now known as Sucre, a historic colonial center and constitutional capital of Bolivia.
  • E. Firebaugh
    Firebaugh is a small agricultural city in California’s San Joaquin Valley, known for its farming-based economy and rural community character.
  • F. None of above. chosen

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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed13bb14819096842c6c82342524 completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb1b194819093b88d3f37ae51d9 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d8510c08190a88a1a8f044b3c59 completed March 14, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_69b51e0e9df08190959bc5cb7084d8a5 completed March 14, 2026, 8:36 a.m.
Created at: March 9, 2026, 3:22 p.m.