Triple

T16294822
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese of Getafe E395619 entity
Predicate territoryIncludes P285 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: [Roman Catholic Diocese of Getafe, territoryIncludes, Valdemoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdemoro
Context triple: [Roman Catholic Diocese of Getafe, territoryIncludes, 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. 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.
  • E. Castelferrus
    Castelferrus is a small commune in the Tarn-et-Garonne department in southern France, situated in a rural area characterized by agriculture and proximity to the town of Castelsarrasin.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2c255881909d99c43770475329 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da268b881908f17980c48d44419 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:05 a.m.