Triple
T22640674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenida de Aragón |
E558814
|
entity |
| Predicate | hasNameOrigin |
P3325
|
FINISHED |
| Object | Aragón |
—
|
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: Aragón | Statement: [Avenida de Aragón, hasNameOrigin, Aragón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aragón Context triple: [Avenida de Aragón, hasNameOrigin, Aragón]
-
A.
Aragón
chosen
Aragón is a Mexico City Metro station on Line 5 serving the northeastern area of the city near the Aragón district and its surrounding neighborhoods.
-
B.
Aragon
Aragon is an autonomous community in northeastern Spain, historically significant as a former kingdom and as a key battleground region during major conflicts such as the Spanish Civil War.
-
C.
Navarra
Navarra is a lively piano composition by Spanish composer Isaac Albéniz, often associated with his suite of works inspired by the regions and folk music of Spain.
-
D.
Extremadura
Extremadura is an autonomous community in western Spain known for its historic towns, rural landscapes, and role in the era of Spanish exploration and conquest.
-
E.
Alhama de Aragón
Alhama de Aragón is a Spanish spa town in the province of Zaragoza, Aragón, known for its thermal waters and historic bath complexes.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170116fe881908178cffef26e3ae7 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:04 p.m.