Triple
T19813704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maha Vikas Aghadi |
E476008
|
entity |
| Predicate | governmentTermStart |
P137421
|
FINISHED |
| Object | 2019-11-28 |
—
|
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: 2019-11-28 | Statement: [Maha Vikas Aghadi, governmentTermStart, 2019-11-28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentTermStart Context triple: [Maha Vikas Aghadi, governmentTermStart, 2019-11-28]
-
A.
officeHolderStartTime
Indicates the date and time at which an individual begins holding a particular office or position.
-
B.
presidentTermStart
Indicates the date or point in time when an individual officially begins serving as president of an entity.
-
C.
lastOfficeHolderStartDate
Indicates the date on which the most recent person to hold a particular office or position began their term.
-
D.
termOfOfficeInaugurated
Indicates the event or date on which an individual officially begins their term of office through an inauguration.
-
E.
parliamentaryTermStarted
Indicates that a specific parliamentary term has begun for a legislative body or member.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f6495c81908e7eea359a60e40f |
completed | April 20, 2026, 4:31 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:50 p.m.