Triple

T4825065
Position Surface form Disambiguated ID Type / Status
Subject Rivas-Vaciamadrid E107802 entity
Predicate adjacentTo P224 FINISHED
Object Arganda del Rey E109331 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: Arganda del Rey | Statement: [Rivas-Vaciamadrid, adjacentTo, Arganda del Rey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arganda del Rey
Context triple: [Rivas-Vaciamadrid, adjacentTo, Arganda del Rey]
  • A. Arganda del Rey chosen
    Arganda del Rey is a municipality in central Spain known for its wine-making tradition and location within the metropolitan area of Madrid.
  • B. Pozuelo de Alarcón
    Pozuelo de Alarcón is an affluent suburban municipality west of Madrid, known for its high quality of life and residential character.
  • C. Paracuellos de Jarama
    Paracuellos de Jarama is a municipality near Madrid, Spain, known for its proximity to Madrid–Barajas Airport and its historical and military significance.
  • D. Boadilla del Monte
    Boadilla del Monte is a suburban municipality in the Community of Madrid, Spain, known for its residential areas, green spaces, and proximity to the Spanish capital.
  • E. Fuenlabrada
    Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cadb2bc81909455149e46eb593a completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67ce5808819093004d4ed42ed211 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:24 p.m.