Triple
T23898847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holborn–Aldwych branch |
E600981
|
entity |
| Predicate | hasTunnelType |
P29550
|
FINISHED |
| Object | deep-level tube |
—
|
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: deep-level tube | Statement: [Holborn–Aldwych branch, hasTunnelType, deep-level tube]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTunnelType Context triple: [Holborn–Aldwych branch, hasTunnelType, deep-level tube]
-
A.
hasTunnel
Indicates that one entity possesses, contains, or is connected by a tunnel to another entity.
-
B.
tunnelType
chosen
Indicates the specific kind or classification of a tunnel associated with an entity.
-
C.
hasTunnelFunction
Indicates that one entity serves as a tunnel or provides a tunneling function for another entity.
-
D.
hasTunnelShape
Indicates that something possesses a form or configuration resembling a tunnel, typically elongated, enclosed, and passage-like.
-
E.
hasTunnelSections
Indicates that an entity includes or is composed of multiple distinct tunnel segments or portions.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cddca9708190acd3e9edc9b5940b |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.