Triple
T19450046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS National Grid |
E486591
|
entity |
| Predicate | gridSquareLabeling |
P106824
|
FINISHED |
| Object | two-letter prefixes |
—
|
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: two-letter prefixes | Statement: [OS National Grid, gridSquareLabeling, two-letter prefixes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gridSquareLabeling Context triple: [OS National Grid, gridSquareLabeling, two-letter prefixes]
-
A.
mapLabel
Indicates that a label or name is assigned to a map or mapped entity for identification or display.
-
B.
squareName
Indicates that an entity is identified by or associated with the name of a square (such as a public square or plaza).
-
C.
squareGivenBy
Indicates that one entity is a square (or square-shaped region) that has been specified, defined, or provided by another entity.
-
D.
gridName
Indicates the name or identifier assigned to a particular grid within a system or dataset.
-
E.
usesGridLetters
chosen
Indicates that one entity employs or incorporates the letters or coordinates of a grid in relation to another entity or context.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338caeb48190aeb1d511996984e3 |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.