Triple

T24737023
Position Surface form Disambiguated ID Type / Status
Subject Star of the Republic of Indonesia E618443 entity
Predicate class P87 FINISHED
Object Bintang Republik Indonesia Pratama
Bintang Republik Indonesia Pratama is a specific class of Indonesia’s highest civilian order of merit, awarded by the government for distinguished service to the nation.
E1647389 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: Bintang Republik Indonesia Pratama | Statement: [Star of the Republic of Indonesia, class, Bintang Republik Indonesia Pratama]
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: Bintang Republik Indonesia Pratama
Triple: [Star of the Republic of Indonesia, class, Bintang Republik Indonesia Pratama]
Generated description
Bintang Republik Indonesia Pratama is a specific class of Indonesia’s highest civilian order of merit, awarded by the government for distinguished service to the nation.

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_69e2fab8f95c81908bb9e552cf3280c2 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4103a15a48190afb94f6e4bb16b2a completed May 1, 2026, 2:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1032f87cd08190935b03e24a01ba41 completed May 22, 2026, 10:42 a.m.
NEDg Description generation batch_6a1033be69f88190988f54e89df5438a completed May 22, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_6a10346cdcac8190865eb3c1b86c9c2c completed May 22, 2026, 10:48 a.m.
Created at: April 18, 2026, 4:03 a.m.