Triple

T3717527
Position Surface form Disambiguated ID Type / Status
Subject Casa de Campo E81565 entity
Predicate connectsTo P845 FINISHED
Object Madrid Río E148779 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: Madrid Río | Statement: [Casa de Campo, connectsTo, Madrid Río]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madrid Río
Context triple: [Casa de Campo, connectsTo, Madrid Río]
  • A. Madrid Río park chosen
    Madrid Río park is a large urban green space in Madrid that features recreational areas, cultural facilities, and landscaped promenades along the banks of the Manzanares River.
  • B. Manzanares River
    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.
  • C. Besòs river corridor
    The Besòs river corridor is an urban and natural area in the Barcelona metropolitan region that follows the course of the Besòs River, integrating green spaces, transport links, and surrounding neighborhoods.
  • D. Puente de Arganda
    Puente de Arganda is a bridge spanning the Jarama River in the Madrid region of Spain, serving as a key local crossing and transport link.
  • E. Manzanares
    Manzanares is a small Colombian town and municipality located in the mountainous Caldas Department in the Andean region.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9d087c881909f6d2ec6e518fb02 completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce1260948190b4707337e9427c2c completed March 14, 2026, 2:55 a.m.
Created at: March 8, 2026, 3:33 p.m.