Triple

T11734454
Position Surface form Disambiguated ID Type / Status
Subject Province of Ávila E278988 entity
Predicate hasRiver P165 FINISHED
Object Adaja River E883245 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: Adaja River | Statement: [Province of Ávila, hasRiver, Adaja River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adaja River
Context triple: [Province of Ávila, hasRiver, Adaja River]
  • A. Adaja River chosen
    The Adaja River is a significant river in central Spain that flows through the province of Ávila before joining the Douro River system.
  • B. Tala River
    The Tala River is a watercourse in the Zaqatala region of northwestern Azerbaijan, contributing to the area's local hydrology and landscape.
  • C. Letaba River
    The Letaba River is a major watercourse in northeastern South Africa that flows through the Kruger National Park, supporting diverse wildlife and ecosystems along its banks.
  • D. Umiam River
    Umiam River is a river in the Indian state of Meghalaya that feeds the scenic Umiam Lake near Shillong and supports regional hydropower and water resources.
  • E. Agout River
    The Agout River is a significant waterway in southern France that flows through the Tarn and Hérault departments, supporting local ecosystems, agriculture, and towns along its course.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4daa7f48190896fc7653e9dd70b completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0513f408190b822566b8fc771cd completed May 3, 2026, 8:30 p.m.
Created at: April 8, 2026, 9:41 p.m.