Triple
T10644910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berguedà |
E250811
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
La Quar
La Quar is a small rural municipality in the Berguedà comarca of Catalonia, Spain, known for its mountainous landscape and traditional Catalan character.
|
E878093
|
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: La Quar | Statement: [Berguedà, contains, La Quar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Quar Context triple: [Berguedà, contains, La Quar]
-
A.
Quargnento
Quargnento is a small Italian town in the Piedmont region, known as the birthplace of the Futurist painter Carlo Carrà.
-
B.
Miravalle
Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
-
C.
Montagnana
Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
-
D.
Nigoglia
Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
-
E.
Seravezza
Seravezza is a historic Tuscan town in central Italy, known for its marble quarries and scenic location in the Apuan Alps.
- 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: La Quar Triple: [Berguedà, contains, La Quar]
Generated description
La Quar is a small rural municipality in the Berguedà comarca of Catalonia, Spain, known for its mountainous landscape and traditional Catalan character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Quar Target entity description: La Quar is a small rural municipality in the Berguedà comarca of Catalonia, Spain, known for its mountainous landscape and traditional Catalan character.
-
A.
Quargnento
Quargnento is a small Italian town in the Piedmont region, known as the birthplace of the Futurist painter Carlo Carrà.
-
B.
Miravalle
Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
-
C.
Montagnana
Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
-
D.
Nigoglia
Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
-
E.
Seravezza
Seravezza is a historic Tuscan town in central Italy, known for its marble quarries and scenic location in the Apuan Alps.
- 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_69d97a580d388190aea5edadd4afc0d1 |
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.