Triple
T10804532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alt Penedès |
E254928
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Puigdàlber
Puigdàlber is a small municipality in Catalonia, Spain, situated in the wine-producing Alt Penedès comarca.
|
E886669
|
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: Puigdàlber | Statement: [Alt Penedès, hasMunicipality, Puigdàlber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puigdàlber Context triple: [Alt Penedès, hasMunicipality, Puigdàlber]
-
A.
Quiriego
Quiriego is a rural municipality in the Mexican state of Sonora, known for its agricultural activities and small, dispersed communities.
-
B.
Maragall
Maragall is a Barcelona Metro station that serves as an interchange point between multiple lines in the city’s public transit network.
-
C.
Puyol
Puyol is a retired Spanish footballer best known as FC Barcelona’s long-serving, hard-tackling central defender and captain, widely regarded as one of the greatest defenders of his generation.
-
D.
Viladrau
Viladrau is a small Catalan town in northeastern Spain, known for its natural springs and location within the Montseny Natural Park.
-
E.
Bruniales
Bruniales is an order of flowering plants within the asterid clade, comprising mainly woody shrubs and trees such as those in the families Bruniaceae and Columelliaceae.
- 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: Puigdàlber Triple: [Alt Penedès, hasMunicipality, Puigdàlber]
Generated description
Puigdàlber is a small municipality in Catalonia, Spain, situated in the wine-producing Alt Penedès comarca.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Puigdàlber Target entity description: Puigdàlber is a small municipality in Catalonia, Spain, situated in the wine-producing Alt Penedès comarca.
-
A.
Quiriego
Quiriego is a rural municipality in the Mexican state of Sonora, known for its agricultural activities and small, dispersed communities.
-
B.
Maragall
Maragall is a Barcelona Metro station that serves as an interchange point between multiple lines in the city’s public transit network.
-
C.
Puyol
Puyol is a retired Spanish footballer best known as FC Barcelona’s long-serving, hard-tackling central defender and captain, widely regarded as one of the greatest defenders of his generation.
-
D.
Viladrau
Viladrau is a small Catalan town in northeastern Spain, known for its natural springs and location within the Montseny Natural Park.
-
E.
Bruniales
Bruniales is an order of flowering plants within the asterid clade, comprising mainly woody shrubs and trees such as those in the families Bruniaceae and Columelliaceae.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73370e7388190885b104fc883456e |
completed | April 9, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de567a7ea0819088a2fa10f8367d89 |
completed | April 14, 2026, 3 p.m. |
| NEDg | Description generation | batch_69de5eaf3cc08190935cb6ddf2020166 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de63a902f4819089845bc6d7469c6b |
completed | April 14, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:18 p.m.