Triple
T1484770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freedom Triumphant in War and Peace |
E29439
|
entity |
| Predicate | castFrom |
P29172
|
FINISHED |
| Object | bronze |
—
|
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: bronze | Statement: [Freedom Triumphant in War and Peace, castFrom, bronze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: castFrom Context triple: [Freedom Triumphant in War and Peace, castFrom, bronze]
-
A.
castOutOf
Indicates that one entity is expelled or forcibly removed from another entity, place, or group.
-
B.
castIn
Indicates that an actor or performer appears in a particular film, show, or production.
-
C.
convertedFrom
Indicates that one entity has been transformed or changed in form, type, or representation from another entity.
-
D.
ateFrom
Indicates that one entity consumed food or some substance that was taken from or served in another entity (such as a container, place, or source).
-
E.
convertsFrom
Indicates that one entity is transformed or changed into another entity, with the source being the starting form or state.
- F. None of above. chosen
Provenance (4 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a011f0819086e9ee517ed6d29f |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:12 p.m.