Triple
T16060506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baix Camp |
E389596
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Riudecanyes
Riudecanyes is a small municipality in the Baix Camp comarca of Catalonia, Spain, known for its reservoir and historic Sanctuary of Mare de Déu de la Misericòrdia.
|
E1193733
|
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: Riudecanyes | Statement: [Baix Camp, containsMunicipality, Riudecanyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riudecanyes Context triple: [Baix Camp, containsMunicipality, Riudecanyes]
-
A.
Alcossebre
Alcossebre is a coastal resort town in eastern Spain known for its sandy beaches, coves, and relaxed Mediterranean atmosphere.
-
B.
Celrà
Celrà is a municipality in the province of Girona, Catalonia, Spain, known for its rural character and proximity to the city of Girona.
-
C.
Banyoles
Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
-
D.
Viladecans
Viladecans is a municipality in the Baix Llobregat comarca of the Barcelona metropolitan area in Catalonia, Spain.
-
E.
Viladecavalls
Viladecavalls is a municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its semi-rural character and proximity to the metropolitan area of Barcelona.
- 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: Riudecanyes Triple: [Baix Camp, containsMunicipality, Riudecanyes]
Generated description
Riudecanyes is a small municipality in the Baix Camp comarca of Catalonia, Spain, known for its reservoir and historic Sanctuary of Mare de Déu de la Misericòrdia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Riudecanyes Target entity description: Riudecanyes is a small municipality in the Baix Camp comarca of Catalonia, Spain, known for its reservoir and historic Sanctuary of Mare de Déu de la Misericòrdia.
-
A.
Alcossebre
Alcossebre is a coastal resort town in eastern Spain known for its sandy beaches, coves, and relaxed Mediterranean atmosphere.
-
B.
Celrà
Celrà is a municipality in the province of Girona, Catalonia, Spain, known for its rural character and proximity to the city of Girona.
-
C.
Banyoles
Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
-
D.
Viladecans
Viladecans is a municipality in the Baix Llobregat comarca of the Barcelona metropolitan area in Catalonia, Spain.
-
E.
Viladecavalls
Viladecavalls is a municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its semi-rural character and proximity to the metropolitan area of Barcelona.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837850288190910ef37d6484c600 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb8b1b2c8190949943b20f2f8574 |
completed | May 10, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_69ffec06b344819093f164f15f104717 |
completed | May 10, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffec9fc93881909b80bbfe324ebc2c |
completed | May 10, 2026, 2:25 a.m. |
Created at: April 10, 2026, 4:57 a.m.