Triple
T5961318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurasia Tunnel |
E132643
|
entity |
| Predicate | maximumDepthBelowSeaLevel |
P67084
|
FINISHED |
| Object | -106 m |
—
|
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: -106 m | Statement: [Eurasia Tunnel, maximumDepthBelowSeaLevel, -106 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDepthBelowSeaLevel Context triple: [Eurasia Tunnel, maximumDepthBelowSeaLevel, -106 m]
-
A.
oceanDepthBelow
Indicates that one location or point in the ocean is situated at a greater depth (deeper below the surface) than another.
-
B.
deepestStationDepthMeters
Indicates the maximum depth, in meters, reached by any station associated with the subject.
-
C.
maximumDepthKilometres
Indicates the greatest depth, measured in kilometers, that something reaches or extends to.
-
D.
oneOfDeepestPointsOn
Indicates that an entity is among the deepest points located on a specified object or surface.
-
E.
partlyBelowSeaLevel
Indicates that an entity’s elevation is such that some, but not all, of it lies below sea level.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03fb6bb7c81909c5629fba408dc69 |
completed | March 22, 2026, 7:15 p.m. |
Created at: March 22, 2026, 4:02 p.m.