Triple

T11652336
Position Surface form Disambiguated ID Type / Status
Subject PSX E276933 entity
Predicate hasIndex P2915 FINISHED
Object KSE-30 Index E280150 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-30 Index | Statement: [PSX, hasIndex, KSE-30 Index]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KSE-30 Index
Context triple: [PSX, hasIndex, KSE-30 Index]
  • A. KSE-30 Index chosen
    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.
  • B. KSE-100 Index
    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.
  • C. 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.
  • D. 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.
  • E. S&P BSE 100
    S&P BSE 100 is a broad-based Indian stock market index that tracks the performance of 100 large, liquid, and financially sound companies listed on the Bombay 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2d01f9c8190849f252f22519550 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef138faf4c81908043c71550048d75 completed April 27, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:39 p.m.