Triple
T13579579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comarca of Tarragonès |
E324376
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Creixell
Creixell is a coastal municipality in Catalonia, Spain, known for its Mediterranean beaches and historic old town.
|
E1049803
|
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: Creixell | Statement: [Comarca of Tarragonès, containsMunicipality, Creixell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Creixell Context triple: [Comarca of Tarragonès, containsMunicipality, Creixell]
-
A.
Cerdanya
Cerdanya is a historic region in the eastern Pyrenees, now divided between France and Spain, known for its mountainous landscapes and Catalan cultural heritage.
-
B.
Granollers
Granollers is a town and municipality in Catalonia, Spain, known as an important commercial and industrial center and the capital of the comarca of Vallès Oriental.
-
C.
Molins de Rei
Molins de Rei is a municipality in the Barcelona metropolitan area of Catalonia, Spain, situated along the Llobregat River.
-
D.
Martorell
Martorell is a town in Catalonia, Spain, known as an important industrial hub within the Barcelona metropolitan area.
-
E.
Besòs
Besòs is a district in northeastern Barcelona, Spain, located near the mouth of the Besòs River and served as a terminus for the Trambesòs tram network.
- 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: Creixell Triple: [Comarca of Tarragonès, containsMunicipality, Creixell]
Generated description
Creixell is a coastal municipality in Catalonia, Spain, known for its Mediterranean beaches and historic old town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Creixell Target entity description: Creixell is a coastal municipality in Catalonia, Spain, known for its Mediterranean beaches and historic old town.
-
A.
Cerdanya
Cerdanya is a historic region in the eastern Pyrenees, now divided between France and Spain, known for its mountainous landscapes and Catalan cultural heritage.
-
B.
Granollers
Granollers is a town and municipality in Catalonia, Spain, known as an important commercial and industrial center and the capital of the comarca of Vallès Oriental.
-
C.
Molins de Rei
Molins de Rei is a municipality in the Barcelona metropolitan area of Catalonia, Spain, situated along the Llobregat River.
-
D.
Martorell
Martorell is a town in Catalonia, Spain, known as an important industrial hub within the Barcelona metropolitan area.
-
E.
Besòs
Besòs is a district in northeastern Barcelona, Spain, located near the mouth of the Besòs River and served as a terminus for the Trambesòs tram network.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb03052088190a2b68c106059828e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bbdb2d0819089f094e57dde28cf |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77641e5308190a75bcffeb9bfd7b4 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f779178dc48190bb0de790de30d8b0 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:48 p.m.