Triple
T14139021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burjassot-Paterna campus |
E350373
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Burjassot
Burjassot is a municipality in the metropolitan area of Valencia, Spain, known for its residential character and proximity to major university and research facilities.
|
E1092662
|
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: Burjassot | Statement: [Burjassot-Paterna campus, locatedIn, Burjassot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burjassot Context triple: [Burjassot-Paterna campus, locatedIn, Burjassot]
-
A.
Alcoy
Alcoy is an industrial and historically significant city in southeastern Spain, known for its textile heritage, modernist architecture, and famous Moors and Christians festival.
-
B.
Torrevieja
Torrevieja is a coastal city in southeastern Spain known for its salt lakes, beaches, and tourism-driven economy.
-
C.
El Masnou
El Masnou is a coastal town and municipality in the Maresme comarca of Catalonia, Spain, known for its beaches and proximity to Barcelona.
-
D.
Denia
Denia is a coastal city on Spain’s Costa Blanca known for its historic castle, Mediterranean beaches, and vibrant port.
-
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: Burjassot Triple: [Burjassot-Paterna campus, locatedIn, Burjassot]
Generated description
Burjassot is a municipality in the metropolitan area of Valencia, Spain, known for its residential character and proximity to major university and research facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burjassot Target entity description: Burjassot is a municipality in the metropolitan area of Valencia, Spain, known for its residential character and proximity to major university and research facilities.
-
A.
Alcoy
Alcoy is an industrial and historically significant city in southeastern Spain, known for its textile heritage, modernist architecture, and famous Moors and Christians festival.
-
B.
Torrevieja
Torrevieja is a coastal city in southeastern Spain known for its salt lakes, beaches, and tourism-driven economy.
-
C.
El Masnou
El Masnou is a coastal town and municipality in the Maresme comarca of Catalonia, Spain, known for its beaches and proximity to Barcelona.
-
D.
Denia
Denia is a coastal city on Spain’s Costa Blanca known for its historic castle, Mediterranean beaches, and vibrant port.
-
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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6111a36081909beff35c88a56960 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4672bac8819085794c2554bd6e75 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47168e0081908176620420498ff7 |
completed | May 8, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd47eb7db08190a68f60b255073d8d |
completed | May 8, 2026, 2:18 a.m. |
Created at: April 10, 2026, 12:40 a.m.