Triple

T20606380
Position Surface form Disambiguated ID Type / Status
Subject Supreme Court of Indonesia E506322 entity
Predicate abbreviation P43 FINISHED
Object MA
MA is the commonly used abbreviation for the Supreme Court of Indonesia, the country's highest judicial authority.
 E1439555 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: MA | Statement: [Supreme Court of Indonesia, abbreviation, MA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MA
Context triple: [Supreme Court of Indonesia, abbreviation, MA]
  • A. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • B. MA
    MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
  • C. MA
    MA is the IATA airline designator formerly assigned to Malév Hungarian Airlines, the former flag carrier of Hungary.
  • D. MA
    MA is the commonly used abbreviation for the Millennium Ecosystem Assessment, a major international initiative that evaluated the consequences of ecosystem change for human well-being.
  • E. MA
    MA is the vehicle registration code used on license plates for the German city of Mannheim.
  • 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: MA
Triple: [Supreme Court of Indonesia, abbreviation, MA]
Generated description
MA is the commonly used abbreviation for the Supreme Court of Indonesia, the country's highest judicial authority.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MA
Target entity description: MA is the commonly used abbreviation for the Supreme Court of Indonesia, the country's highest judicial authority.
  • A. MA
    MA is the commonly used abbreviation for the Millennium Ecosystem Assessment, a major international initiative that evaluated the consequences of ecosystem change for human well-being.
  • B. MA
    MA is the standard two-letter postal abbreviation for the U.S. state of Massachusetts.
  • C. MA
    MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
  • D. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • E. MA
    MA is the IATA airline designator formerly assigned to Malév Hungarian Airlines, the former flag carrier of Hungary.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa2452888190858d273430cd783d completed April 20, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3f56f748190a42864ae428c9f1b completed May 16, 2026, 6:14 p.m.
NEDg Description generation batch_6a08b49702108190810c8e4f5a89ec36 completed May 16, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_6a08b524b95c8190909c93d471e9397f completed May 16, 2026, 6:19 p.m.
Created at: April 16, 2026, 11:41 a.m.