Triple

T13889243
Position Surface form Disambiguated ID Type / Status
Subject Office Management Group E333925 entity
Predicate typicalRank P9317 FINISHED
Object BPS-20 E334821 NE FINISHED

How this triple was built (2 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: BPS-20 | Statement: [Office Management Group, typicalRank, BPS-20]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BPS-20
Context triple: [Office Management Group, typicalRank, BPS-20]
  • A. BPS-20 chosen
    BPS-20 is a senior-grade pay scale in Pakistan’s civil service structure, typically held by high-ranking officers and experienced government officials.
  • B. BPS-22
    BPS-22 is the highest grade in Pakistan’s civil service pay scale, typically reserved for top-level federal officials such as federal secretaries and equivalent posts.
  • C. BPS-21
    BPS-21 is a senior civil service pay grade in Pakistan typically held by high-ranking government officers such as directors general and equivalent posts.
  • D. BPS-2
    BPS-2 is a low-level government pay grade in Pakistan’s Basic Pay Scale system, typically assigned to junior support and clerical staff positions.
  • E. BPS-1
    BPS-1 is the lowest grade in Pakistan’s Basic Pay Scale system, typically assigned to unskilled or entry-level government positions with the minimum salary and benefits.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a3a24881908d81d634622fbbcc completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c718140c8190a625da87231ee814 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.