Triple
T8930793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Sri Lanka |
E212647
|
entity |
| Predicate | officeTransformed |
P49854
|
FINISHED |
| Object | 1978 |
—
|
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: 1978 | Statement: [President of Sri Lanka, officeTransformed, 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeTransformed Context triple: [President of Sri Lanka, officeTransformed, 1978]
-
A.
officeFormation
chosen
Indicates the event or process by which an office or official position is created, established, or formally constituted.
-
B.
officeWon
Indicates that a candidate successfully secured an elected office or position as the result of an election or selection process.
-
C.
office
Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
-
D.
officeTerm
Indicates the period of time during which an individual officially holds a particular position or office.
-
E.
officeMergedInto
Indicates that one office has been combined with and absorbed into another office, ceasing to exist as a separate entity.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc668cdc0c8190b908fd23cbdef534 |
completed | April 1, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed3286c8190a21de2ee11f2639f |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:57 p.m.