Triple

T32622955
Position Surface form Disambiguated ID Type / Status
Subject Samagi Jana Balawegaya E833977 entity
Predicate hasSecretaryGeneral P1881 FINISHED
Object Ranjith Madduma Bandara
Ranjith Madduma Bandara is a Sri Lankan politician who serves as the Secretary General of the opposition party Samagi Jana Balawegaya.
E2075132 NE 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: Ranjith Madduma Bandara | Statement: [Samagi Jana Balawegaya, hasSecretaryGeneral, Ranjith Madduma Bandara]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ranjith Madduma Bandara
Triple: [Samagi Jana Balawegaya, hasSecretaryGeneral, Ranjith Madduma Bandara]
Generated description
Ranjith Madduma Bandara is a Sri Lankan politician who serves as the Secretary General of the opposition party Samagi Jana Balawegaya.

Provenance (5 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_69f6c6f0a8e08190a7d8f6e7c77b59bd completed May 3, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3689af34e0819081d080a8d26e700e completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368a9e3d188190890e19e635d9cf9c completed June 20, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_6a368b58c7848190b708ded1bbc44b60 completed June 20, 2026, 12:45 p.m.
Created at: May 1, 2026, 1:06 a.m.