Triple
T35606475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flow Country peatlands |
E1028907
|
entity |
| Predicate | maximumPeatDepth |
P193155
|
FINISHED |
| Object | over 10 metres in places |
—
|
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: over 10 metres in places | Statement: [Flow Country peatlands, maximumPeatDepth, over 10 metres in places]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumPeatDepth Context triple: [Flow Country peatlands, maximumPeatDepth, over 10 metres in places]
-
A.
maximumWaterDepth
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
-
B.
lakeMaximumDepth
Indicates the greatest recorded vertical distance from the lake’s surface to its deepest point.
-
C.
maximumDepthBelowSeaLevel
Indicates the greatest vertical distance an entity extends or reaches below sea level.
-
D.
maximumDepthKilometres
Indicates the greatest depth, measured in kilometers, that something reaches or extends to.
-
E.
maximumHeightAboveSeafloor
Indicates the greatest vertical distance between an object or feature and the seafloor beneath it.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
| PDg | Predicate description generation | batch_69fd389b653c81908a97ab2eff98c6ea |
completed | May 8, 2026, 1:12 a.m. |
Created at: May 3, 2026, 4:05 p.m.