Triple
T35816578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont de Ferro |
E1035376
|
entity |
| Predicate | riverBankContext |
P184906
|
FINISHED |
| Object | connects areas on both banks of the Onyar River |
—
|
LITERAL 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: connects areas on both banks of the Onyar River | Statement: [Pont de Ferro, riverBankContext, connects areas on both banks of the Onyar River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverBankContext Context triple: [Pont de Ferro, riverBankContext, connects areas on both banks of the Onyar River]
-
A.
riverBankOne
Indicates that the referenced entity is one specific side or bank of a river, typically the first or primary one in a pairwise relation.
-
B.
riverBankTwo
Indicates a relationship where something is located on or associated with the second of two identified banks of a river.
-
C.
riverBankTerminus
Indicates the location where a river meets or ends at a bank or shoreline boundary.
-
D.
riverBankUse
Indicates how a riverbank is utilized or managed, such as for recreation, conservation, agriculture, or development.
-
E.
riverBankArea
Indicates the area of land adjacent to a riverbank associated with the given entity or location.
- F. None of above. chosen
Provenance (4 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: May 3, 2026, 4:06 p.m.