Triple

T1267081
Position Surface form Disambiguated ID Type / Status
Subject ITU Plenipotentiary Conference E15625 entity
Predicate hasAbbreviation P43 FINISHED
Object 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.
E145390 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: [ITU Plenipotentiary Conference, hasAbbreviation, PP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PP
Context triple: [ITU Plenipotentiary Conference, hasAbbreviation, PP]
  • A. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • B. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • C. CP
    CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
  • D. CP
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • E. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • 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: [ITU Plenipotentiary Conference, hasAbbreviation, PP]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PP
Target entity description: 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.
  • A. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • B. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • C. CP
    CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
  • D. CP
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • E. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c037f14c8190baa42f70f8846583 completed March 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac99874f748190bfffe8fb5a649d11 completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac99ef5e308190858cf45c0707aa74 completed March 7, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69ac9ac980f48190a23da8b222ec7601 completed March 7, 2026, 9:38 p.m.
Created at: March 1, 2026, 7:50 p.m.