Triple
T10644802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bages |
E250809
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Navarcles
Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
|
E878051
|
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: Navarcles | Statement: [Bages, containsMunicipality, Navarcles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navarcles Context triple: [Bages, containsMunicipality, Navarcles]
-
A.
Lavezares
Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
-
B.
Vernazobre
Vernazobre is a river in southern France that serves as a tributary of the Orb.
-
C.
Bulnes
Bulnes is a small Chilean city located in the Ñuble Region, known for its agricultural surroundings and rural character.
-
D.
Coveñas
Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
-
E.
Redondela
Redondela is a coastal town and municipality in the province of Pontevedra in Galicia, northwestern Spain, known for its historic viaducts and scenic Ría de Vigo shoreline.
- 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: Navarcles Triple: [Bages, containsMunicipality, Navarcles]
Generated description
Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Navarcles Target entity description: Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
-
A.
Lavezares
Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
-
B.
Vernazobre
Vernazobre is a river in southern France that serves as a tributary of the Orb.
-
C.
Bulnes
Bulnes is a small Chilean city located in the Ñuble Region, known for its agricultural surroundings and rural character.
-
D.
Coveñas
Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
-
E.
Redondela
Redondela is a coastal town and municipality in the province of Pontevedra in Galicia, northwestern Spain, known for its historic viaducts and scenic Ría de Vigo shoreline.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfd04ca88190ac4fffd13c1f33a8 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a4dd4e48190ba7d0291686702e6 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc20448819094d650b9c1067dca |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e0cda0c8190af5013b971b2ad3c |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.