Triple
T25099421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R5 |
E628681
|
entity |
| Predicate | networkNumberingScheme |
P47176
|
FINISHED |
| Object | R-numbered SEPTA Regional Rail lines |
—
|
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: R-numbered SEPTA Regional Rail lines | Statement: [R5, networkNumberingScheme, R-numbered SEPTA Regional Rail lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkNumberingScheme Context triple: [R5, networkNumberingScheme, R-numbered SEPTA Regional Rail lines]
-
A.
networkNumberSize
Indicates the size or magnitude associated with a network’s identifying number or address range.
-
B.
hasRouteNumberingScheme
chosen
Indicates that one entity uses or is assigned a particular system or scheme for numbering its routes.
-
C.
standardNumberingScheme
Indicates that there is a specific, commonly accepted numbering system or convention being applied to identify or order the related entities.
-
D.
telephoneNumberingPlan
Indicates a relationship where a telephone numbering plan defines or governs how telephone numbers are structured, assigned, or managed for a given telecommunication context.
-
E.
serviceNumbering
Indicates that a specific service is assigned or associated with a particular identifying number or code.
- 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_69e2ff3071548190b62d1ac237397197 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 6:25 a.m.