Triple

T22009819
Position Surface form Disambiguated ID Type / Status
Subject Igualada E543545 entity
Predicate locatedOnRiver P165 FINISHED
Object Anoia River 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: Anoia River | Statement: [Igualada, locatedOnRiver, Anoia River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anoia River
Context triple: [Igualada, locatedOnRiver, Anoia River]
  • A. Anoia River chosen
    The Anoia River is a river in Catalonia, Spain, that flows through several towns and agricultural areas before joining the Llobregat River.
  • B. Sorraia River
    The Sorraia River is a significant river in central Portugal that flows through agricultural plains before joining the Tagus River system.
  • C. Surla River
    The Surla River is a smaller watercourse in the Indian state of Goa that serves as one of the tributaries feeding the Mhadei River system.
  • D. Gairezi River
    The Gairezi River is a watercourse in eastern Zimbabwe that flows along the border with Mozambique and is known for its scenic highland landscapes and trout fishing.
  • E. Econfina River
    The Econfina River is a relatively short, spring-fed river in Florida that flows through forested and marshy landscapes before emptying into the Gulf of Mexico.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a376048190a78ba7efd303b58a completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.