Triple
T21715601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JY13 |
E536018
|
entity |
| Predicate | mapsLabelType |
P13793
|
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: [JY13, mapsLabelType, station code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapsLabelType Context triple: [JY13, mapsLabelType, station code]
-
A.
mapLabel
chosen
Indicates that a label or name is assigned to a map or mapped entity for identification or display.
-
B.
mapsType
Indicates that one entity serves as a mapping whose values or outputs are of the specified type.
-
C.
mappingType
Indicates the specific kind or category of correspondence established between two related elements or representations.
-
D.
cartographicType
Indicates the specific kind or category of cartographic representation associated with an entity (e.g., map type or mapping style).
-
E.
mapCategory
Indicates that one category is associated with or translated into another category, typically to align or relate different classification schemes.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53761b48190954a46e8155a84f0 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:47 p.m.