Triple
T1402385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank-Walter Steinmeier |
E31613
|
entity |
| Predicate | servedAsHeadOfTheChancelleryFrom |
P27594
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Frank-Walter Steinmeier, servedAsHeadOfTheChancelleryFrom, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsHeadOfTheChancelleryFrom Context triple: [Frank-Walter Steinmeier, servedAsHeadOfTheChancelleryFrom, 1999]
-
A.
formerChancellor
Indicates that one entity previously held the position or role of chancellor of the other entity, but no longer does.
-
B.
lastChancellor
Indicates that one entity served as the most recent chancellor of another entity (such as a country, institution, or organization).
-
C.
hasChancellor
Indicates that an entity holds the position or role of chancellor for another entity.
-
D.
formerFirstSecretary
Indicates that the subject previously held, but no longer holds, the position of First Secretary in relation to the object.
-
E.
chancellorTitle
Indicates the official title or designation held by an individual serving in the role of chancellor.
- 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.