Triple
T25631717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal President a. D. |
E642592
|
entity |
| Predicate | postPosition |
P158941
|
FINISHED |
| Object | used after the person’s name |
—
|
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: used after the person’s name | Statement: [Federal President a. D., postPosition, used after the person’s name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postPosition Context triple: [Federal President a. D., postPosition, used after the person’s name]
-
A.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
-
B.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
C.
positionA
Indicates the spatial or ordered position of an entity A within a defined reference frame or sequence.
-
D.
draftPosition
Indicates the selection order or specific pick at which an entity (such as a player) was chosen in a draft process.
-
E.
otherPosition
Indicates that one entity occupies a different position or location relative to another entity.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa5dd31481909bfcbb9975403cc5 |
completed | May 2, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 5:18 p.m.