Triple
T1795792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Guardian |
E39599
|
entity |
| Predicate | changedFormatFrom |
P5574
|
FINISHED |
| Object | broadsheet to Berliner |
—
|
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: broadsheet to Berliner | Statement: [The Guardian, changedFormatFrom, broadsheet to Berliner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changedFormatFrom Context triple: [The Guardian, changedFormatFrom, broadsheet to Berliner]
-
A.
convertedFrom
chosen
Indicates that one entity has been transformed or changed in form, type, or representation from another entity.
-
B.
mostRecentFormatChange
Indicates the most recent modification made to the format or structure of an entity, relative to all prior format changes.
-
C.
convertedBy
Indicates that one entity has been transformed or changed in form, state, or representation through the action or process performed by another entity.
-
D.
convertedFor
Indicates that one entity has been transformed, adapted, or reformatted specifically for use, compatibility, or suitability with another entity.
-
E.
hadMultipleFormatsOverTime
Indicates that the same underlying item or entity has existed in more than one format or version at different points in 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.