Triple
T8064021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Putney tube station |
E188195
|
entity |
| Predicate | isSurfaceOrSubsurface |
P1242
|
FINISHED |
| Object | sub-surface |
—
|
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: sub-surface | Statement: [East Putney tube station, isSurfaceOrSubsurface, sub-surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSurfaceOrSubsurface Context triple: [East Putney tube station, isSurfaceOrSubsurface, sub-surface]
-
A.
hasSubsurfacePlatforms
Indicates that an entity includes or is equipped with platforms located below the surface or underground.
-
B.
subsurfaceSamplingDevice
Indicates a device is used to collect or sample materials from beneath a surface, such as soil, rock, or sediment layers.
-
C.
visibleAtSurface
Indicates that something can be seen or is observable at the outer surface of an object or medium.
-
D.
surfaceType
chosen
Indicates the kind or classification of surface associated with an entity or interaction.
-
E.
hasAlternativeSurface
Indicates that one entity serves as a different or substitute surface option for another entity.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fd07fd08190a3b61cb3369ee6a6 |
completed | March 31, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:26 p.m.