Triple
T32672680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ranasinghe Premadasa as Prime Minister of Sri Lanka |
E835338
|
entity |
| Predicate | elevationAfterTenure |
P149114
|
FINISHED |
| Object | President of Sri Lanka |
—
|
NE NERFINISHED |
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: President of Sri Lanka | Statement: [Ranasinghe Premadasa as Prime Minister of Sri Lanka, elevationAfterTenure, President of Sri Lanka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationAfterTenure Context triple: [Ranasinghe Premadasa as Prime Minister of Sri Lanka, elevationAfterTenure, President of Sri Lanka]
-
A.
elevation
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
B.
elevationToElector
Indicates the act or status change by which an entity is raised or promoted to the position or rank of an elector.
-
C.
laterTenure
chosen
Indicates that one entity’s tenure or term of service occurs after another entity’s tenure or term of service.
-
D.
elevationYear
Indicates the year in which an entity was elevated to a higher status, rank, or designation.
-
E.
post-elevationRank
Indicates that one entity holds a higher or later elevation-based rank or status than another 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_69f3493134b48190aa3c8cb523bd3800 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: May 1, 2026, 1:09 a.m.