Triple

T20558035
Position Surface form Disambiguated ID Type / Status
Subject Judicial Commission of Indonesia E504772 entity
Predicate abbreviation P43 FINISHED
Object KY
KY is the abbreviation for the Judicial Commission of Indonesia, an independent state body responsible for overseeing the conduct and integrity of judges in the Indonesian judiciary.
E1437585 NE FINISHED

How this triple was built (4 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: KY | Statement: [Judicial Commission of Indonesia, abbreviation, KY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KY
Context triple: [Judicial Commission of Indonesia, abbreviation, KY]
  • A. KY
    KY is the two-letter ISO 3166-1 alpha-2 country code for the Cayman Islands, a British Overseas Territory in the Caribbean.
  • B. KY
    KY is the vehicle registration code used on license plates for motor vehicles registered in County Kerry, Ireland.
  • C. KY
    KY is the postcode area covering Kirkcaldy and surrounding parts of eastern Scotland.
  • D. KY
    KY is the official United States Postal Service abbreviation for the state of Kentucky.
  • E. KY
    KY is the IATA airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: KY
Triple: [Judicial Commission of Indonesia, abbreviation, KY]
Generated description
KY is the abbreviation for the Judicial Commission of Indonesia, an independent state body responsible for overseeing the conduct and integrity of judges in the Indonesian judiciary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KY
Target entity description: KY is the abbreviation for the Judicial Commission of Indonesia, an independent state body responsible for overseeing the conduct and integrity of judges in the Indonesian judiciary.
  • A. KY
    KY is the postcode area covering Kirkcaldy and surrounding parts of eastern Scotland.
  • B. KY
    KY is the official United States Postal Service abbreviation for the state of Kentucky.
  • C. KY
    KY is the IATA airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
  • D. KY
    KY is the two-letter ISO 3166-1 alpha-2 country code for the Cayman Islands, a British Overseas Territory in the Caribbean.
  • E. KY
    KY is the vehicle registration code used on license plates for motor vehicles registered in County Kerry, Ireland.
  • F. None of above. chosen

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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5df84088190848c7eb35564d8f9 completed April 20, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a5796df48190b96841c94a6311c0 completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a68c08dc8190a09854800df82686 completed May 16, 2026, 5:17 p.m.
NED2 Entity disambiguation (via description) batch_6a08a7331cc88190a9ed6056e5743e69 completed May 16, 2026, 5:19 p.m.
Created at: April 16, 2026, 11:38 a.m.