Triple
T10382403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Chelt |
E244671
|
entity |
| Predicate | hasCulvertedSections |
P15152
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [River Chelt, hasCulvertedSections, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulvertedSections Context triple: [River Chelt, hasCulvertedSections, yes]
-
A.
hasCanalSection
Indicates a relationship where one entity includes, contains, or is associated with a specific section or segment of a canal.
-
B.
hasUndergroundSection
chosen
Indicates that an entity includes a portion or segment that is located below ground level.
-
C.
hasBridgeSection
Indicates that one entity includes or is associated with a specific bridge section as a distinct part or component.
-
D.
hasTunnelsOnRoad
Indicates that a road includes or passes through one or more tunnels along its route.
-
E.
hasSurfaceSections
Indicates that an entity is composed of or divided into distinct sections or parts of its surface.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e992d8e08190aaa9a04925f52ccc |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 12:04 p.m.