Triple
T18912986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumar Sangakkara |
E462650
|
entity |
| Predicate | mccPresidencyStartYear |
P8942
|
FINISHED |
| Object | 2019 |
—
|
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 | Statement: [Kumar Sangakkara, mccPresidencyStartYear, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mccPresidencyStartYear Context triple: [Kumar Sangakkara, mccPresidencyStartYear, 2019]
-
A.
presidentTermStart
Indicates the date or point in time when an individual officially begins serving as president of an entity.
-
B.
inaugurationYear
Indicates the calendar year in which an entity was formally inaugurated or officially brought into operation.
-
C.
APA_PresidencyYear
Indicates the specific year during which an individual held the presidency of the American Psychological Association.
-
D.
presidentSince
chosen
Indicates that one entity has held the office of president of another entity starting from a specified point in time.
-
E.
inauguralHolderYear
Indicates the year in which the first holder or occupant of a position, title, or role began their tenure.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c624516c81909e6bf04707d3c71c |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.