Triple
T23389991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant-Admiral of Zeeland |
E593986
|
entity |
| Predicate | officeHolderRankStyle |
P32760
|
FINISHED |
| Object | provincial admiralty rank |
—
|
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: provincial admiralty rank | Statement: [Lieutenant-Admiral of Zeeland, officeHolderRankStyle, provincial admiralty rank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderRankStyle Context triple: [Lieutenant-Admiral of Zeeland, officeHolderRankStyle, provincial admiralty rank]
-
A.
officeHolderStyle
Indicates the formal title, manner of address, or stylistic designation used for a person holding a particular office or position.
-
B.
officeHolderRankSometimes
Indicates that an office holder’s rank or level within a position can vary or apply only in certain situations or periods.
-
C.
officeHolderClass
Indicates that a given role or position is held by members belonging to a specified class or category of office holders.
-
D.
rankHeldByOfficeholder
chosen
Indicates the specific rank or level associated with an office or position that is held by a particular officeholder.
-
E.
officeHolderRoleFor
Indicates that a specific role or position is held by an office holder within an organization or governing body.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49a7c14819082aab826715976c5 |
completed | April 29, 2026, 6:26 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:35 p.m.