Triple
T10588073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Scotsman |
E249906
|
entity |
| Predicate | switchedToCompactFormat |
P24401
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [The Scotsman, switchedToCompactFormat, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: switchedToCompactFormat Context triple: [The Scotsman, switchedToCompactFormat, 2004]
-
A.
isCompact
Indicates that an object or space has a small, efficiently arranged size or volume relative to its function or contents.
-
B.
compactedVariantUsedFor
Indicates that one entity is a compacted or compressed version of another entity that is used in its place for some purpose.
-
C.
isNoncompact
Indicates that the object (such as a space or set) lacks compactness, meaning it does not satisfy the property that every open cover has a finite subcover.
-
D.
convertedFor
chosen
Indicates that one entity has been transformed, adapted, or reformatted specifically for use, compatibility, or suitability with another entity.
-
E.
formatMayChange
Indicates that the format or structure of something is subject to modification and may not remain consistent over time.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527793c588190bfe3a5261eb7f919 |
completed | April 7, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:40 p.m.