Triple

T10348799
Position Surface form Disambiguated ID Type / Status
Subject Romorantin-Lanthenay E243825 entity
Predicate twinnedWith P1072 FINISHED
Object Vila Verde (Portugal) 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 (Portugal) | Statement: [Romorantin-Lanthenay, twinnedWith, Vila Verde (Portugal)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vila Verde (Portugal)
Context triple: [Romorantin-Lanthenay, twinnedWith, Vila Verde (Portugal)]
  • A. Vila Viçosa, Portugal
    Vila Viçosa, Portugal is a historic Alentejo town renowned for its marble quarries and as the ancestral seat of the House of Braganza.
  • B. Vila do Conde, Portugal
    Vila do Conde is a coastal city in northern Portugal known for its historic shipbuilding heritage, beaches, and well-preserved medieval architecture.
  • C. Vila Verde chosen
    Vila Verde is a municipality in the Braga District of northern Portugal, known for its rural landscapes and traditional Minho culture.
  • D. Odivelas, Portugal
    Odivelas, Portugal is a suburban city in the Lisbon metropolitan area known historically for its Cistercian monastery, where Queen Philippa of Lancaster died and was buried.
  • E. Alverca do Ribatejo, Portugal
    Alverca do Ribatejo is a suburban city in the Lisbon metropolitan area of Portugal, known for its industrial activity and proximity to the Tagus River.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e946cbb881909b88536d0107995d completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7508e325c8190a88c2b972f8a6846 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:56 a.m.