Triple
T34328256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amblève River |
E880928
|
entity |
| Predicate | Fonds de QuarreuxLocatedIn |
P82488
|
FINISHED |
| Object | Aywaille |
—
|
NE NERFINISHED |
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: Aywaille | Statement: [Amblève River, Fonds de QuarreuxLocatedIn, Aywaille]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Fonds de QuarreuxLocatedIn Context triple: [Amblève River, Fonds de QuarreuxLocatedIn, Aywaille]
-
A.
situatedInQuarter
chosen
Indicates that one entity is located within or belongs to a specific quarter or district of a larger area.
-
B.
situéeDansLeDépartement
Indicates that one entity is located within the administrative boundaries of a specific department.
-
C.
quarryRegion
Indicates that a specified region is the location where quarrying or extraction activities take place.
-
D.
quarriedNear
Indicates that a material or resource was extracted from a quarry located close to a specified place or feature.
-
E.
quarriedFor
Indicates that a location or source is excavated or mined in order to obtain a particular material or resource.
- F. None of above.
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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:58 a.m.