Triple
T10645021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baix Llobregat |
E250813
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Molins de Rei
Molins de Rei is a municipality in the Barcelona metropolitan area of Catalonia, Spain, situated along the Llobregat River.
|
E945104
|
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: Molins de Rei | Statement: [Baix Llobregat, hasMunicipality, Molins de Rei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molins de Rei Context triple: [Baix Llobregat, hasMunicipality, Molins de Rei]
-
A.
Vilafranca del Penedès
Vilafranca del Penedès is a historic town in Catalonia, Spain, known as a traditional wine-producing center in the Penedès region.
-
B.
Banyoles
Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
-
C.
Benicàssim
Benicàssim is a coastal town in eastern Spain best known for its Mediterranean beaches and the annual Festival Internacional de Benicàssim (FIB) music festival.
-
D.
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.
-
E.
Martorell
Martorell is a town in Catalonia, Spain, known as an important industrial hub within the Barcelona metropolitan area.
- 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: Molins de Rei Triple: [Baix Llobregat, hasMunicipality, Molins de Rei]
Generated description
Molins de Rei is a municipality in the Barcelona metropolitan area of Catalonia, Spain, situated along the Llobregat River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molins de Rei Target entity description: Molins de Rei is a municipality in the Barcelona metropolitan area of Catalonia, Spain, situated along the Llobregat River.
-
A.
Vilafranca del Penedès
Vilafranca del Penedès is a historic town in Catalonia, Spain, known as a traditional wine-producing center in the Penedès region.
-
B.
Banyoles
Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
-
C.
Benicàssim
Benicàssim is a coastal town in eastern Spain best known for its Mediterranean beaches and the annual Festival Internacional de Benicàssim (FIB) music festival.
-
D.
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.
-
E.
Martorell
Martorell is a town in Catalonia, Spain, known as an important industrial hub within the Barcelona metropolitan area.
- 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_69f08ec96fe88190b791e6f50f39173f |
completed | April 28, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f0bd36673881908530b68e496c3d2e |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0eec1f5d081908624fe2a93995fe5 |
completed | April 28, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:05 p.m.