Triple
T6650614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Catalonia |
E150809
|
entity |
| Predicate | containsComarca |
P33339
|
FINISHED |
| Object |
Urgell
Urgell is a historical comarca in inland Catalonia, known for its agricultural landscapes, medieval towns, and role as part of the broader Urgell region that includes the famous bishopric and valley.
|
E619842
|
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: Urgell | Statement: [Western Catalonia, containsComarca, Urgell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urgell Context triple: [Western Catalonia, containsComarca, Urgell]
-
A.
Lleida
Lleida is a historic city in western Catalonia, Spain, known for its medieval Seu Vella cathedral and role as a regional agricultural and commercial center.
-
B.
Tàrrega
Tàrrega is a historic town in Catalonia, Spain, known for its cultural festivals and medieval heritage.
-
C.
Ripoll
Ripoll is a Spanish surname of Catalan origin, notably borne by Colombian singer Shakira.
-
D.
Girona
Girona is a historic city in northeastern Catalonia, Spain, known for its well-preserved medieval architecture, walled Old Quarter, and prominent cathedral.
-
E.
Reus
Reus is a city in Catalonia, Spain, known as the birthplace of architect Antoni Gaudí and for its historic center and vermouth production.
- 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: Urgell Triple: [Western Catalonia, containsComarca, Urgell]
Generated description
Urgell is a historical comarca in inland Catalonia, known for its agricultural landscapes, medieval towns, and role as part of the broader Urgell region that includes the famous bishopric and valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urgell Target entity description: Urgell is a historical comarca in inland Catalonia, known for its agricultural landscapes, medieval towns, and role as part of the broader Urgell region that includes the famous bishopric and valley.
-
A.
Lleida
Lleida is a historic city in western Catalonia, Spain, known for its medieval Seu Vella cathedral and role as a regional agricultural and commercial center.
-
B.
Tàrrega
Tàrrega is a historic town in Catalonia, Spain, known for its cultural festivals and medieval heritage.
-
C.
Ripoll
Ripoll is a Spanish surname of Catalan origin, notably borne by Colombian singer Shakira.
-
D.
Girona
Girona is a historic city in northeastern Catalonia, Spain, known for its well-preserved medieval architecture, walled Old Quarter, and prominent cathedral.
-
E.
Reus
Reus is a city in Catalonia, Spain, known as the birthplace of architect Antoni Gaudí and for its historic center and vermouth production.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6d0a3a2408190bb7be4613f896bdc |
completed | March 27, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a65b1648190b1c9d5554927e0cb |
completed | March 28, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69c71caf7b348190ba15e53943f0f8a7 |
completed | March 28, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71d2d63d481908e67f9e9a63e0f23 |
completed | March 28, 2026, 12:13 a.m. |
Created at: March 27, 2026, 2:01 p.m.