Triple

T16028435
Position Surface form Disambiguated ID Type / Status
Subject Taifa of Mértola E388778 entity
Predicate capital P234 FINISHED
Object Mértola E245542 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: Mértola | Statement: [Taifa of Mértola, capital, Mértola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mértola
Context triple: [Taifa of Mértola, capital, Mértola]
  • A. Mértola chosen
    Mértola is a historic riverside town and municipality in southeastern Portugal known for its well-preserved medieval architecture and rich Islamic and Roman heritage.
  • B. Mangualde
    Mangualde is a municipality in Portugal’s Viseu district, known for its historical town center and its role as a regional transport and industrial hub.
  • C. Silves
    Silves is a historic town in southern Portugal known for its well-preserved Moorish castle and former status as the medieval capital of the Algarve region.
  • D. Conceição de Tavira
    Conceição de Tavira is a civil parish in the Algarve region of southern Portugal, known for its rural landscapes and proximity to the coastal city of Tavira.
  • E. Penacova
    Penacova is a picturesque riverside town in central Portugal known for its scenic landscapes, viewpoints, and traditional villages along the Mondego 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183294984819080b8727a3511a21b completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005809cbf08190b35f2c820793163c completed May 10, 2026, 10:03 a.m.
Created at: April 10, 2026, 4:56 a.m.