Triple

T11781248
Position Surface form Disambiguated ID Type / Status
Subject KSE-30 Index E280150 entity
Predicate isComparedWith P278 FINISHED
Object KSE-100 Index E276935 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: KSE-100 Index | Statement: [KSE-30 Index, isComparedWith, KSE-100 Index]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KSE-100 Index
Context triple: [KSE-30 Index, isComparedWith, KSE-100 Index]
  • A. KSE-100 Index chosen
    The KSE-100 Index is Pakistan’s benchmark stock market index, tracking the performance of the largest and most liquid companies listed on the Pakistan Stock Exchange.
  • B. KSE-30 Index
    The KSE-30 Index is a benchmark stock market index in Pakistan that tracks the performance of 30 of the largest and most liquid companies listed on the Pakistan Stock Exchange.
  • C. KMI All Share Index
    The KMI All Share Index is a broad stock market index that tracks the performance of all listed companies on the Pakistan Stock Exchange.
  • D. SSE Composite Index
    The SSE Composite Index is a major Chinese stock market index that tracks the performance of all stocks listed on the Shanghai Stock Exchange.
  • E. SSE 50 Index
    The SSE 50 Index is a blue-chip stock market index that tracks the performance of 50 of the largest and most liquid companies listed on the Shanghai Stock Exchange.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a58413048190b9e3b9d2f5383ec3 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4580c9f7481908a45e6c098c06378 completed May 1, 2026, 7:36 a.m.
Created at: April 8, 2026, 9:42 p.m.