Triple
T19171084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mehmed Talat Pasha |
E469320
|
entity |
| Predicate | officeEndTime (Grand Vizier) |
P134706
|
FINISHED |
| Object | 1918 |
—
|
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: 1918 | Statement: [Mehmed Talat Pasha, officeEndTime (Grand Vizier), 1918]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (Grand Vizier) Context triple: [Mehmed Talat Pasha, officeEndTime (Grand Vizier), 1918]
-
A.
officeEndTime (Archivist of the United States)
Indicates the time at which the Archivist of the United States’ term of office or period in that role ends.
-
B.
officeEndTime (Commander of RFMF)
Indicates the time at which the Commander of RFMF’s term in office concludes.
-
C.
officeEndTime (Prime Minister)
Indicates the time at which the Prime Minister’s term in office concludes.
-
D.
officeEndTime (Mayor of Vienna)
Indicates the time at which the Mayor of Vienna’s term in office concludes.
-
E.
officeEndTime (Governor of Madras)
Indicates the time at which the Governor of Madras’s term in office concludes.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f163c5888190b4880471d17b4f51 |
completed | April 20, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:06 p.m.