Triple

T13924172
Position Surface form Disambiguated ID Type / Status
Subject BPS-4 E334818 entity
Predicate promotionPathFrom P8323 FINISHED
Object BPS-2 E333931 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-2 | Statement: [BPS-4, promotionPathFrom, BPS-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BPS-2
Context triple: [BPS-4, promotionPathFrom, BPS-2]
  • A. BPS-2 chosen
    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.
  • B. BPS-20
    BPS-20 is a senior-grade pay scale in Pakistan’s civil service structure, typically held by high-ranking officers and experienced government officials.
  • C. 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.
  • D. 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.
  • E. BPS-3
    BPS-3 is a lower-tier government job grade in Pakistan’s Basic Pay Scale system, typically assigned to entry-level support and clerical positions with modest 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa6cd9881908f652538f4613f37 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac880f50819080011aef63f48dc8 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:16 p.m.