Triple

T23525340
Position Surface form Disambiguated ID Type / Status
Subject Teruel E574615 entity
Predicate twinTown P1072 FINISHED
Object Pamiers NE NERFINISHED

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: Pamiers | Statement: [Teruel, twinTown, Pamiers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pamiers
Context triple: [Teruel, twinTown, Pamiers]
  • A. Pamiers chosen
    Pamiers is a historic commune in southwestern France, known as the largest town in the Ariège department and noted for its medieval architecture and role as a local economic center.
  • B. Berlare
    Berlare is a municipality in the East Flanders province of Belgium, known for its rural character and proximity to the Donkmeer lake and nature reserve.
  • C. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • D. Poitzen
    Poitzen is a small village in Lower Saxony, Germany, that forms part of the municipality of Faßberg.
  • E. Perejaume
    Perejaume is a contemporary Catalan artist and poet known for his conceptual explorations of landscape, language, and the relationship between art and territory.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1ac72bfb88190b7da3837e66e851c completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:09 p.m.