Triple
T9258020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noguera Pallaresa |
E222494
|
entity |
| Predicate | mouthLocatedIn |
P417
|
FINISHED |
| Object |
Camarasa
Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
|
E790634
|
NE FINISHED |
How this triple was built (4 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: Camarasa | Statement: [Noguera Pallaresa, mouthLocatedIn, Camarasa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camarasa Context triple: [Noguera Pallaresa, mouthLocatedIn, Camarasa]
-
A.
Corberó
Corberó is a Spanish surname most notably associated with actress Úrsula Corberó, known internationally for her role in the series "Money Heist" (La Casa de Papel).
-
B.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
C.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
D.
Illueca
Illueca is a small town in the province of Zaragoza, Aragon, Spain, known historically as the birthplace of Pope Benedict XIII (Pedro de Luna).
-
E.
Peralillo
Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Camarasa Triple: [Noguera Pallaresa, mouthLocatedIn, Camarasa]
Generated description
Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Camarasa Target entity description: Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
-
A.
Corberó
Corberó is a Spanish surname most notably associated with actress Úrsula Corberó, known internationally for her role in the series "Money Heist" (La Casa de Papel).
-
B.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
C.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
D.
Illueca
Illueca is a small town in the province of Zaragoza, Aragon, Spain, known historically as the birthplace of Pope Benedict XIII (Pedro de Luna).
-
E.
Peralillo
Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
- F. None of above. chosen
Provenance (5 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_69d0b1d943408190b3c13d8aa2473ee8 |
completed | April 4, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69d0b3a2b6f481908b0528f6fa67535b |
completed | April 4, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b7944adc819080b3a90878dd7203 |
completed | April 4, 2026, 7:02 a.m. |
Created at: March 30, 2026, 7:32 p.m.