Triple
T10769098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Lleida |
E254027
|
entity |
| Predicate | containsRegion |
P285
|
FINISHED |
| Object | Pallars Sobirà |
E618805
|
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: Pallars Sobirà | Statement: [Province of Lleida, containsRegion, Pallars Sobirà]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pallars Sobirà Context triple: [Province of Lleida, containsRegion, Pallars Sobirà]
-
A.
Pallars Sobirà
chosen
Pallars Sobirà is a mountainous comarca in the Catalan Pyrenees known for its sparse population, natural parks, and outdoor activities such as hiking and skiing.
-
B.
Pallars Jussà
Pallars Jussà is a mountainous comarca in the Catalan Pyrenees known for its rugged landscapes, reservoirs, and Romanesque heritage.
-
C.
Pallars
Pallars is a historical and mountainous comarca in the Catalan Pyrenees of northeastern Spain, known for its rugged landscapes and river valleys.
-
D.
Benicarló
Benicarló is a coastal town in the province of Castellón, Spain, known for its Mediterranean beaches, agricultural production (especially artichokes), and historic old quarter.
-
E.
Pedralbes
Pedralbes is an affluent residential neighborhood in Barcelona known for its upscale homes, green spaces, and prestigious educational institutions.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322f9968819098b0ad54b913bfe4 |
completed | April 9, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5252da538819091f63ce34709b3b7 |
completed | April 19, 2026, 6:55 p.m. |
Created at: April 8, 2026, 9:16 p.m.