Triple
T1402384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank-Walter Steinmeier |
E31613
|
entity |
| Predicate | servedAsViceChancellorUntil |
P27593
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Frank-Walter Steinmeier, servedAsViceChancellorUntil, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsViceChancellorUntil Context triple: [Frank-Walter Steinmeier, servedAsViceChancellorUntil, 2009]
-
A.
hasViceChancellor
Indicates that one entity serves as the vice chancellor of another entity.
-
B.
principalAndViceChancellor
Indicates that one entity holds the role of principal while also serving as the vice chancellor of an institution in relation to another entity.
-
C.
lastChancellor
Indicates that one entity served as the most recent chancellor of another entity (such as a country, institution, or organization).
-
D.
ElizabethIITenureEnd
Indicates the point in time when Queen Elizabeth II’s period of reign or official tenure came to an end.
-
E.
hasHonoraryDegreeFrom
Indicates that an individual has been awarded an honorary degree by a particular institution.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39ef554819096c17bca5891829b |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c11067b48190bca6ef3ac1475c20 |
completed | March 1, 2026, 10:43 p.m. |
Created at: March 1, 2026, 7:59 p.m.