Triple
T17667296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella of Portugal, Queen of Castile |
E440418
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Arévalo |
—
|
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: Arévalo | Statement: [Isabella of Portugal, Queen of Castile, residence, Arévalo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arévalo Context triple: [Isabella of Portugal, Queen of Castile, residence, Arévalo]
-
A.
Arévalo
chosen
Arévalo is a historic town in Spain’s Castile and León region, known for its well-preserved medieval architecture and Mudejar-style monuments.
-
B.
Almendralejo
Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
-
C.
Avilés
Avilés is a historic coastal city in northern Spain’s Asturias region, known for its medieval old town and long maritime and industrial heritage.
-
D.
Brihuega
Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
-
E.
Navacerrada
Navacerrada is a mountain village and popular outdoor recreation destination in the Sierra de Guadarrama range near Madrid, Spain.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46eaaaec8819086977d8a5210c44e |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:58 a.m.