Triple
T32622956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samagi Jana Balawegaya |
E833977
|
entity |
| Predicate | hasNationalOrganizer |
P197367
|
FINISHED |
| Object | Tissa Attanayake |
—
|
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: Tissa Attanayake | Statement: [Samagi Jana Balawegaya, hasNationalOrganizer, Tissa Attanayake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalOrganizer Context triple: [Samagi Jana Balawegaya, hasNationalOrganizer, Tissa Attanayake]
-
A.
hasOrganizingAssociation
Indicates that an entity is organized, managed, or coordinated by a particular association or organization.
-
B.
hasMediumOfOrganizer
Indicates that an organizer (such as a person or group arranging an event or activity) uses or is associated with a particular medium or channel through which the organizing is conducted or communicated.
-
C.
hasOrganBy
Indicates that one entity possesses or includes another entity as an organ or component part.
-
D.
organizerCountry
Indicates the country that serves as the organizer or host for an event, activity, or initiative.
-
E.
oftenOrganizedBy
Indicates that an event, activity, or process is frequently arranged, coordinated, or hosted by a particular agent or entity.
- F. None of above. chosen
Provenance (4 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
| PDg | Predicate description generation | batch_69fe8dde8d008190b03dc0f97618073c |
completed | May 9, 2026, 1:29 a.m. |
Created at: May 1, 2026, 1:06 a.m.