Triple
T9258026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noguera Pallaresa |
E222494
|
entity |
| Predicate | flowsThrough |
P225
|
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: [Noguera Pallaresa, flowsThrough, Pallars Sobirà]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pallars Sobirà Context triple: [Noguera Pallaresa, flowsThrough, 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.
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.
-
D.
Segarra
Segarra is a historical inland comarca in Catalonia, Spain, known for its rolling cereal plains, medieval castles, and the town of Cervera as its capital.
-
E.
Banyoles
Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd06b660448190b6bc04beff0f5512 |
completed | April 1, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c736ccd8819081d2c5a6be11ac36 |
completed | April 4, 2026, 8:09 a.m. |
Created at: March 30, 2026, 7:32 p.m.