Triple
T28956994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandrika Bandaranaike Kumaratunga |
E731189
|
entity |
| Predicate | hasCauseOfDisability |
P11973
|
FINISHED |
| Object | loss of vision in one eye |
—
|
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: loss of vision in one eye | Statement: [Chandrika Bandaranaike Kumaratunga, hasCauseOfDisability, loss of vision in one eye]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCauseOfDisability Context triple: [Chandrika Bandaranaike Kumaratunga, hasCauseOfDisability, loss of vision in one eye]
-
A.
causeOfDisability
chosen
Indicates that one entity is the reason or source that brings about another entity’s disability.
-
B.
disability
Indicates that an entity has a physical, mental, or sensory impairment that substantially limits one or more major life activities.
-
C.
disabilityAcquired
Indicates that a disability has been obtained or developed by an entity after an initial point in time, rather than being present from birth.
-
D.
hasDisabilityRepresentation
Indicates that something includes, portrays, or accounts for the presence and experiences of people with disabilities.
-
E.
hasImpairmentStatus
Indicates that an entity possesses a particular condition of functional limitation, disability, or impairment status.
- 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_69f043eb9bcc819091ac7b07aecb6475 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 28, 2026, 8:48 a.m.