Triple
T19885703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Lochar Water |
E477893
|
entity |
| Predicate | hasTerrainInCatchment |
P29610
|
FINISHED |
| Object | low-lying terrain |
—
|
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: low-lying terrain | Statement: [River Lochar Water, hasTerrainInCatchment, low-lying terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTerrainInCatchment Context triple: [River Lochar Water, hasTerrainInCatchment, low-lying terrain]
-
A.
isInCatchment
Indicates that one entity lies within the geographic or service area covered or served by another entity.
-
B.
hasTerrainFor
Indicates that a location or area possesses terrain suitable or designated for a particular use, activity, or feature.
-
C.
hasWaterBasins
Indicates that one entity possesses, contains, or includes one or more water basins in relation to another entity.
-
D.
hasWatershed
Indicates that one geographic area or feature is part of, drains into, or is hydrologically defined by a particular watershed.
-
E.
hasWatershedCharacteristic
chosen
Indicates that a watershed possesses a specified characteristic, feature, or property.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65909fe0481908e22b60d04fe2b11 |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.