Triple

T11562314
Position Surface form Disambiguated ID Type / Status
Subject Parti Keadilan Rakyat E274174 entity
Predicate shortName P43 FINISHED
Object PKR
PKR is a major Malaysian political party known for advocating social justice, multiracial representation, and reform-oriented governance.
 E933548 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: PKR | Statement: [Parti Keadilan Rakyat, shortName, PKR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PKR
Context triple: [Parti Keadilan Rakyat, shortName, PKR]
  • A. PKR
    PKR is the official currency code for the Pakistani rupee, the legal tender of Pakistan.
  • B. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • C. PKB
    PKB is the IATA airport code for Mid-Ohio Valley Regional Airport serving the Parkersburg–Vienna area in West Virginia, USA.
  • D. KRP
    KRP is the IATA airport code for Karup Airport, a regional airport in Denmark.
  • E. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • 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: PKR
Triple: [Parti Keadilan Rakyat, shortName, PKR]
Generated description
PKR is a major Malaysian political party known for advocating social justice, multiracial representation, and reform-oriented governance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PKR
Target entity description: PKR is a major Malaysian political party known for advocating social justice, multiracial representation, and reform-oriented governance.
  • A. PKR
    PKR is the official currency code for the Pakistani rupee, the legal tender of Pakistan.
  • B. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • C. PKB
    PKB is the IATA airport code for Mid-Ohio Valley Regional Airport serving the Parkersburg–Vienna area in West Virginia, USA.
  • D. KRP
    KRP is the IATA airport code for Karup Airport, a regional airport in Denmark.
  • E. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd2016481909b33848af3d1d6c1 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e89e73b481908175576f4ec8d39a completed April 21, 2026, 3:01 a.m.
NEDg Description generation batch_69e6ef951eb881909810b5923385c4c6 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f92ed97c819081576add624dcc27 completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.