Triple
T19450086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airy 1830 ellipsoid |
E486592
|
entity |
| Predicate | designedToFit |
P9494
|
FINISHED |
| Object | geoid around Great Britain |
—
|
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: geoid around Great Britain | Statement: [Airy 1830 ellipsoid, designedToFit, geoid around Great Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToFit Context triple: [Airy 1830 ellipsoid, designedToFit, geoid around Great Britain]
-
A.
isDesignedFor
chosen
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
-
B.
isDesignedAs
Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
-
C.
compactDesign
Indicates that something has a small, efficiently organized form or layout that minimizes space usage while maintaining functionality.
-
D.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
-
E.
fittedWith
Indicates that one entity is equipped, supplied, or provided with another entity as a component, feature, or accessory.
- 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.