Triple

T25082619
Position Surface form Disambiguated ID Type / Status
Subject Stephen Kalong Ningkan E628224 entity
Predicate memberOfPoliticalParty P10 FINISHED
Object Sarawak National Party
The Sarawak National Party is a regional political party in the Malaysian state of Sarawak that played a key role in the state's early post-independence politics and leadership.
E1669446 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: Sarawak National Party | Statement: [Stephen Kalong Ningkan, memberOfPoliticalParty, Sarawak National Party]
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: Sarawak National Party
Triple: [Stephen Kalong Ningkan, memberOfPoliticalParty, Sarawak National Party]
Generated description
The Sarawak National Party is a regional political party in the Malaysian state of Sarawak that played a key role in the state's early post-independence politics and leadership.

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_69e2ff2e73f881909992bf3eda5c25cb completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f461e18c288190a0d06a7756fed024 completed May 1, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105ced7a788190a153d9a233c82fbc completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a1060da9fac819094a0cf95e7868580 completed May 22, 2026, 1:57 p.m.
NED2 Entity disambiguation (via description) batch_6a10614d9eac8190b35ab1742d392a10 completed May 22, 2026, 1:59 p.m.
Created at: April 18, 2026, 6:22 a.m.