Triple
T16022172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Turia |
E388627
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Quart de Poblet |
E1042339
|
NE FINISHED |
How this triple was built (2 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: Quart de Poblet | Statement: [Río Turia, flowsThrough, Quart de Poblet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quart de Poblet Context triple: [Río Turia, flowsThrough, Quart de Poblet]
-
A.
Quart de Poblet
chosen
Quart de Poblet is a municipality in the province of Valencia, Spain, known for its proximity to the city of Valencia and its role within the metropolitan area.
-
B.
Pedralbes
Pedralbes is an affluent residential neighborhood in Barcelona known for its upscale homes, green spaces, and prestigious educational institutions.
-
C.
Banyoles
Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
-
D.
Sant Celoni
Sant Celoni is a town in Catalonia, Spain, located northeast of Barcelona in the Vallès Oriental comarca, known as a local commercial and transport hub between the Montseny and Montnegre natural areas.
-
E.
Pla d'Urgell
Pla d'Urgell is a comarca (county) in the inland plains of Catalonia, Spain, known for its irrigated agriculture and small rural towns.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ffdbcfd39c81909bfddfe95f9ad7d2 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.