Triple
T14986352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LW |
E373711
|
entity |
| Predicate | systemCodeType |
P2202
|
FINISHED |
| Object | 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: station code | Statement: [LW, systemCodeType, station code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systemCodeType Context triple: [LW, systemCodeType, station code]
-
A.
codeType
chosen
Indicates the classification or category assigned to a particular code within a coding or encoding system.
-
B.
labelCodeType
Indicates that one entity serves as the type or classification scheme for the labeling code applied to another entity.
-
C.
regionCodeType
Indicates the classification or format type used for a given region code within a coding or identification system.
-
D.
catalogCode
Indicates that an entity is assigned a specific catalog identifier or code used for classification or reference.
-
E.
numericCode
Indicates that an entity is associated with a specific numerical identifier or classification 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7007588819095bb1de029a6f2eb |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:52 a.m.