Triple
T22671623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campo de Cariñena comarca |
E560230
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Cosuenda
Cosuenda is a small municipality in the province of Zaragoza, Aragon, Spain, known for its location in the wine-producing Campo de Cariñena region.
|
E1548442
|
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: Cosuenda | Statement: [Campo de Cariñena comarca, hasMunicipality, Cosuenda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cosuenda Context triple: [Campo de Cariñena comarca, hasMunicipality, Cosuenda]
-
A.
Cosío
Cosío is a small municipality and town located in the northern part of the Mexican state of Aguascalientes.
-
B.
Consuegra
Consuegra is a historic town in Spain’s La Mancha region, known for its hilltop castle and iconic windmills associated with Don Quixote.
-
C.
Coveñas
Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
-
D.
Caleruega
Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
-
E.
Requena
Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
- 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: Cosuenda Triple: [Campo de Cariñena comarca, hasMunicipality, Cosuenda]
Generated description
Cosuenda is a small municipality in the province of Zaragoza, Aragon, Spain, known for its location in the wine-producing Campo de Cariñena region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cosuenda Target entity description: Cosuenda is a small municipality in the province of Zaragoza, Aragon, Spain, known for its location in the wine-producing Campo de Cariñena region.
-
A.
Cosío
Cosío is a small municipality and town located in the northern part of the Mexican state of Aguascalientes.
-
B.
Consuegra
Consuegra is a historic town in Spain’s La Mancha region, known for its hilltop castle and iconic windmills associated with Don Quixote.
-
C.
Coveñas
Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
-
D.
Caleruega
Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
-
E.
Requena
Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17820a8088190bc0ce907adf95863 |
completed | April 29, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73eb35c4819083a5de1f2979b521 |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b745f36708190af2a61f501c18c78 |
completed | May 18, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b74ebf8c08190bc3f2bd0b442ef9c |
completed | May 18, 2026, 8:22 p.m. |
Created at: April 17, 2026, 3:10 p.m.