Triple
T32076582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aude basin |
E819171
|
entity |
| Predicate | hasUpstreamArea |
P173513
|
FINISHED |
| Object | Pyrenees |
—
|
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: Pyrenees | Statement: [Aude basin, hasUpstreamArea, Pyrenees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpstreamArea Context triple: [Aude basin, hasUpstreamArea, Pyrenees]
-
A.
hasDownstreamArea
Indicates that one entity is associated with an area located downstream from it, typically receiving flow, influence, or impact from the upstream entity.
-
B.
hasIntermediateArea
Indicates that there exists an area or region that lies between or connects two other areas in the relationship.
-
C.
hasSiblingArea
Indicates that one area is a sibling of another area, meaning they share the same parent area and are at the same hierarchical level.
-
D.
hasUpstreamImpactOn
Indicates that one entity’s actions, changes, or outputs affect another entity that is positioned earlier in a process, flow, or dependency chain.
-
E.
hasSourceAreaOn
Indicates that something originates from or is derived from a specified area or region.
- 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_69f348ff8ef88190931c08ba530a36bc |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:23 a.m.