Triple
T5014826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British National Grid |
E112713
|
entity |
| Predicate | gridSquareSystem |
P54915
|
FINISHED |
| Object | 100 km lettered grid squares |
—
|
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: 100 km lettered grid squares | Statement: [British National Grid, gridSquareSystem, 100 km lettered grid squares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gridSquareSystem Context triple: [British National Grid, gridSquareSystem, 100 km lettered grid squares]
-
A.
gridType
Indicates the specific structural or organizational pattern of a grid used to arrange or reference elements.
-
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.
streetGridOrientation
Indicates the predominant directional alignment or pattern of streets within a given area or city layout.
-
D.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
-
E.
gridReferenceType
chosen
Indicates the specific system or format used to express a location’s position within a spatial grid.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd732e0b848190858407920e7aefd0 |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.