Triple
T16022176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Turia |
E388627
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Pedralba
Pedralba is a municipality in the province of Valencia, Spain, known for its rural landscape and location along the Turia River.
|
E1202345
|
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: Pedralba | Statement: [Río Turia, flowsThrough, Pedralba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pedralba Context triple: [Río Turia, flowsThrough, Pedralba]
-
A.
Pedralbes
Pedralbes is an affluent residential neighborhood in Barcelona known for its upscale homes, green spaces, and prestigious educational institutions.
-
B.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
C.
Torredembarra
Torredembarra is a coastal town in Catalonia, Spain, known for its Mediterranean beaches, historic old quarter, and well-preserved lighthouse.
-
D.
Cullera
Cullera is a coastal town in eastern Spain known for its Mediterranean beaches, historic castle, and location at the mouth of the Júcar River.
-
E.
Segarra
Segarra is a historical inland comarca in Catalonia, Spain, known for its rolling cereal plains, medieval castles, and the town of Cervera as its capital.
- 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: Pedralba Triple: [Río Turia, flowsThrough, Pedralba]
Generated description
Pedralba is a municipality in the province of Valencia, Spain, known for its rural landscape and location along the Turia River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pedralba Target entity description: Pedralba is a municipality in the province of Valencia, Spain, known for its rural landscape and location along the Turia River.
-
A.
Pedralbes
Pedralbes is an affluent residential neighborhood in Barcelona known for its upscale homes, green spaces, and prestigious educational institutions.
-
B.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
C.
Torredembarra
Torredembarra is a coastal town in Catalonia, Spain, known for its Mediterranean beaches, historic old quarter, and well-preserved lighthouse.
-
D.
Cullera
Cullera is a coastal town in eastern Spain known for its Mediterranean beaches, historic castle, and location at the mouth of the Júcar River.
-
E.
Segarra
Segarra is a historical inland comarca in Catalonia, Spain, known for its rolling cereal plains, medieval castles, and the town of Cervera as its capital.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18323fc0881908bab7126d9ccf67d |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec329488190ab4269b6d94a983d |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a00111f29448190befe52365e710542 |
completed | May 10, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00117a62e881909eed990c8d3029af |
completed | May 10, 2026, 5:02 a.m. |
Created at: April 10, 2026, 4:55 a.m.