Triple

T17211665
Position Surface form Disambiguated ID Type / Status
Subject Santiago Rusiñol E417745 entity
Predicate deathPlace P21 FINISHED
Object Aranjuez NE NERFINISHED

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: Aranjuez | Statement: [Santiago Rusiñol, deathPlace, Aranjuez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aranjuez
Context triple: [Santiago Rusiñol, deathPlace, Aranjuez]
  • A. Aranjuez chosen
    Aranjuez is a historic town in central Spain renowned for its royal palace, extensive gardens, and cultural heritage, and is located within the Community of Madrid.
  • B. Jerez de los Caballeros
    Jerez de los Caballeros is a historic town in the Extremadura region of southwestern Spain, known for its medieval architecture and association with several notable Spanish conquistadors.
  • C. Almendralejo
    Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
  • D. Henares
    Henares is a river in central Spain that flows through the Province of Guadalajara and is a tributary of the Jarama River.
  • E. Alhué
    Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc5a51481908d5ea0f9a1e9aa8b completed April 19, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:38 a.m.