Triple

T17424035
Position Surface form Disambiguated ID Type / Status
Subject canton of Pamiers-1 E423689 entity
Predicate hasNameInLanguage P15 FINISHED
Object Pamiers-1 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-1 | Statement: [canton of Pamiers-1, hasNameInLanguage, Pamiers-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pamiers-1
Context triple: [canton of Pamiers-1, hasNameInLanguage, Pamiers-1]
  • 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. Pamiris
    Pamiris are an Iranian ethnic group native to the mountainous Pamir region of Central Asia, known for their distinct Eastern Iranian languages and cultural traditions.
  • C. Pomarance
    Pomarance is a historic Tuscan town in central Italy, known for its medieval architecture and proximity to the geothermal area of Larderello.
  • D. Pomáz
    Pomáz is a town in Hungary located near Budapest, known for its scenic setting at the foot of the Pilis Mountains and its mix of historical and natural attractions.
  • E. Pimampiro
    Pimampiro is a small town and canton in northern Ecuador known for its agricultural production and Andean highland landscapes.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4423999ac81909fdbd8bcffcb30c9 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.