Triple
T22997340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chimediin Saikhanbileg |
E572536
|
entity |
| Predicate | officeStartTime (Prime Minister of Mongolia) |
P101926
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Chimediin Saikhanbileg, officeStartTime (Prime Minister of Mongolia), 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Prime Minister of Mongolia) Context triple: [Chimediin Saikhanbileg, officeStartTime (Prime Minister of Mongolia), 2014]
-
A.
officeStartTime (Prime Minister)
chosen
Indicates the specific time at which the Prime Minister’s term in office officially begins.
-
B.
officeStartTime (Prime Minister of Australia)
Indicates the date and time at which the person began serving as Prime Minister of Australia.
-
C.
officeStartTime (President of Estonia)
Indicates the time at which the President of Estonia officially begins their term in office.
-
D.
officeStartTime (Vice President of India)
Indicates the date and time at which an individual begins their term in office as Vice President of India.
-
E.
officeStartTime (Premier of Victoria)
Indicates the time at which the Premier of Victoria officially begins their term in office.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f452b48190951fc5dde56c1bb2 |
completed | April 29, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:50 p.m.