Triple

T6548835
Position Surface form Disambiguated ID Type / Status
Subject Pemuda Pancasila E151077 entity
Predicate hasAbbreviation P43 FINISHED
Object PP
PP is the common abbreviation for Pemuda Pancasila, an Indonesian nationalist paramilitary youth organization known for its political influence and controversial role in the country’s history.
 E604557 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: PP | Statement: [Pemuda Pancasila, hasAbbreviation, PP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PP
Context triple: [Pemuda Pancasila, hasAbbreviation, PP]
  • A. PP
    PP is the commonly used abbreviation for Poznań University of Technology, a major technical university located in Poznań, Poland.
  • B. PP
    The ITU Plenipotentiary Conference (PP) is the top policy-making body of the International Telecommunication Union, where member states set the Union’s general policies, strategic direction, and leadership.
  • C. PP
    PP is the commonly used abbreviation for the People's Party, a major conservative political party in Spain.
  • D. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • E. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • 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: PP
Triple: [Pemuda Pancasila, hasAbbreviation, PP]
Generated description
PP is the common abbreviation for Pemuda Pancasila, an Indonesian nationalist paramilitary youth organization known for its political influence and controversial role in the country’s history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PP
Target entity description: PP is the common abbreviation for Pemuda Pancasila, an Indonesian nationalist paramilitary youth organization known for its political influence and controversial role in the country’s history.
  • A. PP
    The ITU Plenipotentiary Conference (PP) is the top policy-making body of the International Telecommunication Union, where member states set the Union’s general policies, strategic direction, and leadership.
  • B. PP
    PP is the commonly used abbreviation for the People's Party, a major conservative political party in Spain.
  • C. PP
    PP is the commonly used abbreviation for Poznań University of Technology, a major technical university located in Poznań, Poland.
  • D. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • E. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ae037c488190b9441f9a9e7a69b6 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d54e11fc81909aa135d7c0f2c193 completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d67574cc8190acf20c1a598c32ee completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d83b53e48190881a3e1e8fa8b168 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:51 p.m.