Triple
T757230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Channel Tunnel |
E15582
|
entity |
| Predicate | lowestPointBelowSeaLevel |
P211
|
FINISHED |
| Object | about 75 metres |
—
|
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: about 75 metres | Statement: [Channel Tunnel, lowestPointBelowSeaLevel, about 75 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowestPointBelowSeaLevel Context triple: [Channel Tunnel, lowestPointBelowSeaLevel, about 75 metres]
-
A.
partlyBelowSeaLevel
Indicates that an entity’s elevation is such that some, but not all, of it lies below sea level.
-
B.
lowestPoint
chosen
Indicates that one entity is the point with the minimum vertical position or value relative to another entity or within a specified context.
-
C.
maximumDepthKilometres
Indicates the greatest depth, measured in kilometers, that something reaches or extends to.
-
D.
isDeepestOceanOnEarth
Indicates that the subject ocean holds the greatest maximum depth of all oceans on Earth.
-
E.
oceanDepthBelow
Indicates that one location or point in the ocean is situated at a greater depth (deeper below the surface) than another.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66ab4608190afcd81e6606c5116 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a50348088190873a1446db657a78 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.