Triple
T17150189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Seu d’Urgell |
E416199
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Alt Urgell |
E616317
|
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: Alt Urgell | Statement: [La Seu d’Urgell, locatedIn, Alt Urgell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alt Urgell Context triple: [La Seu d’Urgell, locatedIn, Alt Urgell]
-
A.
Alt Urgell
chosen
Alt Urgell is a mountainous comarca in the Catalan Pyrenees known for its natural landscapes, rural villages, and the town of La Seu d'Urgell.
-
B.
Pla d'Urgell
Pla d'Urgell is a comarca (county) in the inland plains of Catalonia, Spain, known for its irrigated agriculture and small rural towns.
-
C.
Modest Urgell
Modest Urgell was a Catalan painter best known for his melancholic landscape and seascape scenes, often depicting cemeteries and solitary coastal settings.
-
D.
Olesa de Montserrat
Olesa de Montserrat is a municipality in Catalonia, Spain, known for its proximity to the Montserrat mountain range and its traditional Passion Play.
-
E.
Quart de Poblet
Quart de Poblet is a municipality in the province of Valencia, Spain, known for its proximity to the city of Valencia and its role within the metropolitan area.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f4067470819084aa233c4c4a6d4f |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01415b1d7c81908d000b0362042687 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.