Triple

T7405779
Position Surface form Disambiguated ID Type / Status
Subject Sutan Sjahrir E170865 entity
Predicate givenName P17 FINISHED
Object Sutan E170865 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: Sutan | Statement: [Sutan Sjahrir, givenName, Sutan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sutan
Context triple: [Sutan Sjahrir, givenName, Sutan]
  • A. Sutan chosen
    Sutan is the given name of Sutan Sjahrir, an influential Indonesian nationalist leader and the country’s first prime minister.
  • B. Sudisman
    Sudisman was a prominent Indonesian communist politician who served as one of the key leaders of the Indonesian Communist Party (PKI) during its final years before the 1965–66 anti-communist purges.
  • C. Sawata
    Sawata was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
  • D. Kandas
    Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
  • E. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f275c6e481908b4ce9ff1e418296 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111540f08190919bc9d9670f5ef2 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.