Triple
T1305708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GLC |
E27871
|
entity |
| Predicate | codeScheme |
P18653
|
FINISHED |
| Object | National Rail three-letter station code |
—
|
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: National Rail three-letter station code | Statement: [GLC, codeScheme, National Rail three-letter station code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeScheme Context triple: [GLC, codeScheme, National Rail three-letter station code]
-
A.
hasCodeScheme
chosen
Indicates that something is associated with or organized according to a particular coding or classification scheme.
-
B.
codeType
Indicates the classification or category assigned to a particular code within a coding or encoding system.
-
C.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
-
D.
code
Indicates that an entity writes, develops, or produces computer software or source code.
-
E.
codeSpace
Indicates the namespace or contextual scope within which a piece of code, identifier, or programming element is defined and interpreted.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.