Triple
T35032261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | megas doux |
E1010811
|
entity |
| Predicate | successorOfficeInOtherStates |
P201592
|
FINISHED |
| Object | grand admiral in successor states |
—
|
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: grand admiral in successor states | Statement: [megas doux, successorOfficeInOtherStates, grand admiral in successor states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorOfficeInOtherStates Context triple: [megas doux, successorOfficeInOtherStates, grand admiral in successor states]
-
A.
successorOfficeTo
Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
-
B.
successorOfficeEstablished
Indicates that a new office or position was formally created to replace or succeed a previous one.
-
C.
successorOfficeHolder
Indicates that one office holder directly follows another in occupying the same official position.
-
D.
declaresSuccessorOffice
Indicates that an entity formally designates another entity to assume a particular office or position as its successor.
-
E.
successorProvinceOrState
Indicates that one province or state has officially replaced or continued the role of another as its successor.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a000a1d8fa88190a1d82ac746565c48 |
completed | May 10, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_6a0008b26eb88190ae03b2309a614774 |
completed | May 10, 2026, 4:25 a.m. |
| PDg | Predicate description generation | batch_6a000a1c8f8881908293ab4f7207d25f |
completed | May 10, 2026, 4:31 a.m. |
Created at: May 3, 2026, 4:01 p.m.