Triple

T1746847
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Loulé E38353 entity
Predicate hasTown P847 FINISHED
Object Quarteira E43786 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: Quarteira | Statement: [Municipality of Loulé, hasTown, Quarteira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quarteira
Context triple: [Municipality of Loulé, hasTown, Quarteira]
  • A. Quarteira chosen
    Quarteira is a coastal town in Portugal’s Algarve region known for its long sandy beaches, seaside promenade, and role as a popular holiday resort.
  • B. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • C. Aljezur
    Aljezur is a historic coastal town and municipality in southwestern Portugal known for its medieval castle, whitewashed houses, and unspoiled beaches within the Algarve region.
  • D. Corralejo
    Corralejo is a popular resort town on the northern coast of Fuerteventura in Spain’s Canary Islands, known for its sandy beaches, dunes, and water sports.
  • E. Olhão
    Olhão is a coastal city in Portugal’s Algarve region, known for its fishing port, historic waterfront, and access to the Ria Formosa lagoon and nearby islands.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63eabdf48190878ecde3d1b1faf3 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1b679d88190b3c6e50c96f917e4 completed March 8, 2026, 7:44 p.m.
Created at: March 4, 2026, 7:31 p.m.