Triple

T15756131
Position Surface form Disambiguated ID Type / Status
Subject Teleférico de Madrid E381971 entity
Predicate crosses P416 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: [Teleférico de Madrid, crosses, Manzanares River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manzanares River
Context triple: [Teleférico de Madrid, crosses, 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b1ff4881909d5240d1d30f5c8b completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000777c6a08190a4deed9952179be5 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 4:47 a.m.