Triple
T20039056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KGSP |
E497359
|
entity |
| Predicate | hasSurfaceAccess |
P9477
|
FINISHED |
| Object | road transport |
—
|
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: road transport | Statement: [KGSP, hasSurfaceAccess, road transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurfaceAccess Context triple: [KGSP, hasSurfaceAccess, road transport]
-
A.
hasSurfaceConnection
Indicates that two entities are directly connected or in contact at their surfaces, allowing interaction or continuity between them.
-
B.
surfaceAccess
chosen
Indicates that one entity provides a means for another entity to reach, enter, or interact with a surface or outer layer.
-
C.
hasPrimarySurface
Indicates that one entity serves as the main or principal surface associated with another entity.
-
D.
hasSurfaceLevel
Indicates that one entity possesses or is characterized by a particular degree or measure of surface level (e.g., depth, detail, or superficiality).
-
E.
hasSurfaceActivity
Indicates that an entity exhibits measurable physical or chemical activity occurring at or on its surface.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e9e99c81909b7d50eac893c414 |
completed | April 20, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:36 p.m.