Triple
T9987321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Bridget’s Convent, Colombo |
E196799
|
entity |
| Predicate | hasAlumnaWhoHeldOffice |
P60895
|
FINISHED |
| Object | Prime Minister of Sri Lanka |
—
|
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: Prime Minister of Sri Lanka | Statement: [St. Bridget’s Convent, Colombo, hasAlumnaWhoHeldOffice, Prime Minister of Sri Lanka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlumnaWhoHeldOffice Context triple: [St. Bridget’s Convent, Colombo, hasAlumnaWhoHeldOffice, Prime Minister of Sri Lanka]
-
A.
notableAlumnaOccupation
Indicates that the occupation specified is the professional role or career for a person who is a notable alumna of a particular institution.
-
B.
notableAlumnaRole
chosen
Indicates that a person, as a notable alumna, holds or has held a specific role or position associated with her alumni status.
-
C.
hasFirstFemaleGraduate
Indicates that an institution or program has a specific person who is recognized as its first female graduate.
-
D.
hasHistoricalOfficeHolder
Indicates that an office, position, or role has been held by a specific person at some point in the past.
-
E.
isFirstFemaleHolderOfOffice
Indicates that a person is the first woman ever to hold a particular office or position.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79c8b80819091dc16ac8fd0c720 |
completed | April 2, 2026, 1:34 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.