Triple

T2467961
Position Surface form Disambiguated ID Type / Status
Subject Salamanca E55297 entity
Predicate locatedOnRiver P165 FINISHED
Object Tormes River E244677 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: Tormes River | Statement: [Salamanca, locatedOnRiver, Tormes River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tormes River
Context triple: [Salamanca, locatedOnRiver, Tormes River]
  • A. Tormes River chosen
    The Tormes River is a significant river in western Spain that flows through cities like Salamanca before joining the Douro River.
  • B. Alberche River
    The Alberche River is a significant river in central Spain that flows through the provinces of Ávila, Madrid, and Toledo before joining the Tagus.
  • C. Pisuerga River
    The Pisuerga River is a major river in northwestern Spain that flows through the city of Valladolid and is an important tributary of the Duero River.
  • D. Manzanares
    Manzanares is a small Colombian town and municipality located in the mountainous Caldas Department in the Andean region.
  • E. Henares River
    The Henares River is a tributary of the Jarama in central Spain that flows through Castilla–La Mancha and the Community of Madrid, historically supporting towns such as Alcalá de Henares.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd134684c8190bc62c0af22d75538 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f86a1bc8190af02a1109ccf0773 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:44 p.m.