Triple

T16898540
Position Surface form Disambiguated ID Type / Status
Subject Ayuntamiento de Valdemoro E424373 entity
Predicate appliesToJurisdiction P82 FINISHED
Object Valdemoro E95940 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: Valdemoro | Statement: [Ayuntamiento de Valdemoro, appliesToJurisdiction, Valdemoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdemoro
Context triple: [Ayuntamiento de Valdemoro, appliesToJurisdiction, Valdemoro]
  • A. Valdemoro chosen
    Valdemoro is a municipality and growing suburban town in central Spain, located south of Madrid.
  • B. Tomar
    Tomar is a historic Portuguese city in the Santarém District, best known for its Templar-founded Convent of Christ, a UNESCO World Heritage site.
  • C. Henares
    Henares is a river in central Spain that flows through the Province of Guadalajara and is a tributary of the Jarama River.
  • D. Valdemorillo
    Valdemorillo is a municipality in the Community of Madrid, Spain, known for its historic town center and scenic surroundings near the Sierra de Guadarrama.
  • E. Lasdun
    Lasdun is the surname of Denys Lasdun, a prominent British architect known for his modernist designs such as the Royal National Theatre in London.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8da7b0481909111358871875023 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfcd0db8819080d415a18b3435e2 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:29 a.m.