Triple
T6015490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 730 |
E133939
|
entity |
| Predicate | intendedService |
P33500
|
FINISHED |
| Object | commuter rail |
—
|
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: commuter rail | Statement: [British Rail Class 730, intendedService, commuter rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedService Context triple: [British Rail Class 730, intendedService, commuter rail]
-
A.
serviceFor
Indicates that one entity provides a service or performs functions on behalf of another entity.
-
B.
serviceIn
Indicates that one entity serves, operates, or performs its function within the context, scope, or domain of another entity.
-
C.
serviceWith
Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
-
D.
serviceOf
Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
-
E.
intendedToServe
chosen
Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f80ec108190ae9711727debb061 |
completed | March 22, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.