Triple

T1333113
Position Surface form Disambiguated ID Type / Status
Subject Linggadjati Agreement E28687 entity
Predicate statusOfIndonesia P27855 FINISHED
Object constituent state in a federal United States of Indonesia LITERAL 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: constituent state in a federal United States of Indonesia | Statement: [Linggadjati Agreement, statusOfIndonesia, constituent state in a federal United States of Indonesia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusOfIndonesia
Context triple: [Linggadjati Agreement, statusOfIndonesia, constituent state in a federal United States of Indonesia]
  • A. populationRankInIndonesia
    Indicates the relative position of an entity in terms of population size compared to other entities within Indonesia.
  • B. IDN
    Indicates that two entities are identical in value, reference, or identity, representing exact sameness rather than mere similarity.
  • C. statusInPakistan
    Indicates the legal, social, or operational condition or standing that something or someone has within the context of Pakistan.
  • D. statusInAfghanistan
    Indicates the condition, role, or legal standing an entity holds within the context of Afghanistan.
  • E. statusInIran
    Indicates the legal, social, or political standing or condition of an entity specifically within the context of Iran.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1e7f1388190a6e4eb65a7997380 completed March 1, 2026, 10:47 p.m.
PD Predicate disambiguation batch_69a4bef174708190a07bbc697fe19a2d completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c1bf31988190a659f48fe018f4bc completed March 1, 2026, 10:46 p.m.
Created at: March 1, 2026, 7:55 p.m.