Triple
T99330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Eugene of Savoy |
E2004
|
entity |
| Predicate | heldOffice |
P537
|
FINISHED |
| Object | President of the Imperial War Council |
—
|
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: President of the Imperial War Council | Statement: [Prince Eugene of Savoy, heldOffice, President of the Imperial War Council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldOffice Context triple: [Prince Eugene of Savoy, heldOffice, President of the Imperial War Council]
-
A.
servedAs
Indicates that one entity held and performed the role, position, or function associated with another entity for some period of time.
-
B.
electedOffice
Indicates that an entity holds or has held a particular office or position as a result of an election.
-
C.
officeHolderOf
chosen
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
D.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
E.
producedOfficeHolders
Indicates that one entity (such as a place, institution, or group) has given rise to or been the origin of individuals who have held official positions or public offices in another entity.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a253b95d4c81909d1f2bc37e799c44 |
completed | Feb. 28, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69a24ebfc5a88190bdd1653b9fa541fe |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.