Triple
T2131903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Führer and Reich Chancellor |
E46559
|
entity |
| Predicate | officeHolderBecame |
P34999
|
FINISHED |
| Object | head of state of Germany |
—
|
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: head of state of Germany | Statement: [Führer and Reich Chancellor, officeHolderBecame, head of state of Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderBecame Context triple: [Führer and Reich Chancellor, officeHolderBecame, head of state of Germany]
-
A.
successorOfficeHolder
Indicates that one office holder directly follows another in occupying the same official position.
-
B.
officeHolderAsOf
Indicates that a person holds or held a specific office or position as of a particular date or point in time.
-
C.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
-
D.
appointedAfter
Indicates that one entity was appointed to a position or role at a later time than another entity.
-
E.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb7b13ac819094d43159fff984cf |
completed | March 7, 2026, 5:45 a.m. |
| PD | Predicate disambiguation | batch_69abb7bf56e481909b0f497d238451cc |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb860a51c8190b4ae3bb1cedc0fa0 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:44 p.m.