Triple

T13314584
Position Surface form Disambiguated ID Type / Status
Subject Ponent E317156 entity
Predicate contains P35 FINISHED
Object Noguera E614162 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: Noguera | Statement: [Ponent, contains, Noguera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noguera
Context triple: [Ponent, contains, Noguera]
  • A. Noguera chosen
    Noguera is a comarca in western Catalonia, Spain, known for its largely rural landscape, historic towns, and agricultural economy.
  • B. Noguera Ribagorçana River
    The Noguera Ribagorçana River is a Pyrenean river in northeastern Spain that flows through the provinces of Lleida and Huesca, forming part of the natural border between Catalonia and Aragon before joining the Segre River.
  • C. Noguera Pallaresa river
    The Noguera Pallaresa river is a major Pyrenean waterway in Catalonia, Spain, renowned for its scenic mountain landscapes and popular whitewater rafting and kayaking routes.
  • D. Jorquera River
    The Jorquera River is an Andean watercourse in northern Chile that serves as one of the principal headwater tributaries of the Copiapó River.
  • E. Ocaña
    Ocaña is a historic town in central Spain known for its large Plaza Mayor and its role as a regional cultural and commercial center.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f8a86481909ea2942c63037b77 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b143388190a6bed8e21105a406 completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 9:29 p.m.