Triple

T16792635
Position Surface form Disambiguated ID Type / Status
Subject Arganzuela E408147 entity
Predicate river P165 FINISHED
Object Manzanares River E27813 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: Manzanares River | Statement: [Arganzuela, river, Manzanares River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manzanares River
Context triple: [Arganzuela, river, Manzanares River]
  • A. Manzanares River chosen
    The Manzanares River is a modest river in central Spain that flows through the city of Madrid and has historically shaped its landscape and development.
  • B. Manzanares River
    The Manzanares River is a coastal river in northeastern Venezuela that flows through the city of Cumaná before emptying into the Caribbean Sea.
  • C. Manzanares
    Manzanares is a municipality in the Spanish region of Castilla-La Mancha, known for its agricultural economy and location in the province of Ciudad Real.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a7817c8190a53d0cfb5ef66a71 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180bf3d308190b4965d57fe327a52 completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:22 a.m.