Triple
T10645035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baix Llobregat |
E250813
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Begues
Begues is a small municipality in the Baix Llobregat comarca of Catalonia, Spain, known for its natural surroundings in the Garraf Massif.
|
E887907
|
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: Begues | Statement: [Baix Llobregat, hasMunicipality, Begues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Begues Context triple: [Baix Llobregat, hasMunicipality, Begues]
-
A.
Beineix
Beineix is the surname of French film director Jean-Jacques Beineix, known for visually stylish works like "Diva" and "Betty Blue."
-
B.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
C.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
D.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
-
E.
Santpedor
Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
- 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: Begues Triple: [Baix Llobregat, hasMunicipality, Begues]
Generated description
Begues is a small municipality in the Baix Llobregat comarca of Catalonia, Spain, known for its natural surroundings in the Garraf Massif.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Begues Target entity description: Begues is a small municipality in the Baix Llobregat comarca of Catalonia, Spain, known for its natural surroundings in the Garraf Massif.
-
A.
Beineix
Beineix is the surname of French film director Jean-Jacques Beineix, known for visually stylish works like "Diva" and "Betty Blue."
-
B.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
C.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
D.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
-
E.
Santpedor
Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
- 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_69d6dfe120908190ab91c38d57133739 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8461e0448190b801a0ed128d9dcb |
completed | April 14, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69de8e6f3fac8190bcd1675978d6d6d7 |
completed | April 14, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8fa679cc81909cb51035e5403ce9 |
completed | April 14, 2026, 7:04 p.m. |
Created at: April 8, 2026, 9:05 p.m.