Triple
T26583722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yıldırım Akbulut |
E667147
|
entity |
| Predicate | servedAsSpeakerFrom |
P83008
|
FINISHED |
| Object | 1987 |
—
|
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: 1987 | Statement: [Yıldırım Akbulut, servedAsSpeakerFrom, 1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsSpeakerFrom Context triple: [Yıldırım Akbulut, servedAsSpeakerFrom, 1987]
-
A.
succeededAsSpeakerBy
Indicates that one entity took over the role or position of speaker from another entity as their successor.
-
B.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
C.
officeHeldAsSpeakerEnd
chosen
Indicates the point in time or date when an individual's tenure in the role of Speaker of a body or assembly comes to an end.
-
D.
lecturedOn
Indicates that one entity delivered a lecture or formal talk about a particular subject or topic to an audience.
-
E.
gaveLecturesAt
Indicates that a person delivered lectures or taught courses at a particular institution or location.
- F. None of above.
Provenance (3 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_69ee9cfb7e548190b60a9031182f5a7e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 27, 2026, 2:04 a.m.