Triple

T12006942
Position Surface form Disambiguated ID Type / Status
Subject LLE E285803 entity
Predicate codeFor P3746 FINISHED
Object Loulé railway station E62899 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: Loulé railway station | Statement: [LLE, codeFor, Loulé railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loulé railway station
Context triple: [LLE, codeFor, Loulé railway station]
  • A. Loulé railway station chosen
    Loulé railway station is a regional train station in the Algarve region of southern Portugal, serving the town of Loulé and nearby coastal tourist areas.
  • B. Lyon-Gorge-de-Loup station
    Lyon-Gorge-de-Loup station is a transport hub in Lyon, France, serving as a key interchange between regional rail and the city’s metro and bus networks.
  • C. Carcassonne station
    Carcassonne station is the main railway station serving the city of Carcassonne in southern France, providing regional and long-distance train connections.
  • D. Lucien-L’Allier station
    Lucien-L’Allier station is a downtown Montreal commuter rail and metro hub that serves as a key access point to the nearby Bell Centre and surrounding business district.
  • E. Nîmes station
    Nîmes station is a major railway hub in southern France that connects the city of Nîmes to regional and high-speed national rail networks.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c5cfc08190821e4b2940c51416 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d32b0608190b261567fbd4f415e completed May 1, 2026, 12:31 p.m.
Created at: April 8, 2026, 9:46 p.m.