Triple

T16361447
Position Surface form Disambiguated ID Type / Status
Subject Penedono E397320 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Penedono (town) E397320 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: Penedono (town) | Statement: [Penedono, hasMunicipalSeat, Penedono (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penedono (town)
Context triple: [Penedono, hasMunicipalSeat, Penedono (town)]
  • A. Penedono chosen
    Penedono is a small Portuguese municipality in the Viseu district, known for its medieval castle and location within the Douro wine region.
  • B. Pigadia town
    Pigadia town is the main settlement and capital of the Greek island of Karpathos, known for its seaside promenade, harbor, and role as the island’s commercial and tourist center.
  • C. Pianella
    Pianella is a small Italian town and comune in the Abruzzo region, known for its historic hilltop center and surrounding olive groves.
  • D. Cagnano
    Cagnano is a small commune on the island of Corsica in southeastern France, known for its coastal scenery and traditional Mediterranean village character.
  • E. Farkadona town
    Farkadona town is a small urban center in central Greece that serves as the local hub for administration, commerce, and services within the surrounding rural area.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad304448190b3f6f0350a1e151d completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbeabe081909e3d02676293e8b2 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.