Triple

T2642359
Position Surface form Disambiguated ID Type / Status
Subject Loulé railway station E62899 entity
Predicate serves P98 FINISHED
Object Almancil E195655 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: Almancil | Statement: [Loulé railway station, serves, Almancil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almancil
Context triple: [Loulé railway station, serves, Almancil]
  • A. Almancil chosen
    Almancil is a town in Portugal’s Algarve region known for its luxury tourism, proximity to exclusive resorts like Quinta do Lago and Vale do Lobo, and traditional Portuguese architecture.
  • B. Alvescot
    Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • C. Marquetalia
    Marquetalia is a small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing economy in the Andean region.
  • D. Alcoutim
    Alcoutim is a small riverside municipality in Portugal’s Algarve region, known for its quiet historic village overlooking the Guadiana River on the Spanish border.
  • E. Alegranza
    Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8ff34988190ba9d69ce9d77c71d completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98bfd4008190a30675ebaf01e483 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.