Triple

T247499
Position Surface form Disambiguated ID Type / Status
Subject Padma Bhushan E5068 entity
Predicate postNominalLetters P1600 FINISHED
Object PB
PB is the post-nominal abbreviation used to denote recipients of the Padma Bhushan, one of India’s highest civilian honors.
 E31800 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: PB | Statement: [Padma Bhushan, postNominalLetters, PB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PB
Context triple: [Padma Bhushan, postNominalLetters, PB]
  • A. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • B. Pan
    Pan is the rustic Greek god of shepherds, flocks, and wild nature, often depicted with goat-like features and associated with music and untamed wilderness.
  • C. PV
    PV is the post-nominal abbreviation used to denote recipients of the Padma Vibhushan, one of India’s highest civilian honors.
  • D. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • E. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal 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: PB
Triple: [Padma Bhushan, postNominalLetters, PB]
Generated description
PB is the post-nominal abbreviation used to denote recipients of the Padma Bhushan, one of India’s highest civilian honors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PB
Target entity description: PB is the post-nominal abbreviation used to denote recipients of the Padma Bhushan, one of India’s highest civilian honors.
  • A. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • B. Pan
    Pan is the rustic Greek god of shepherds, flocks, and wild nature, often depicted with goat-like features and associated with music and untamed wilderness.
  • C. PV
    PV is the post-nominal abbreviation used to denote recipients of the Padma Vibhushan, one of India’s highest civilian honors.
  • D. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • E. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d154ebc819087a5c9dc4f62ff44 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf64798819096218d320b00a3a9 completed Feb. 28, 2026, 10:32 p.m.
NEDg Description generation batch_69a36d713d548190afadbc7ec7509d98 completed Feb. 28, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69a36e072f188190a0961926536659c1 completed Feb. 28, 2026, 10:36 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.