Triple
T11652419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KSE-100 Index |
E276935
|
entity |
| Predicate | shortName |
P43
|
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-100 Index, shortName, KSE 100 Index]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KSE 100 Index Context triple: [KSE-100 Index, shortName, 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.
KOSPI
KOSPI is South Korea’s main stock market index, tracking the performance of large companies listed on the Korea 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_69f1303147948190b8d3b72529d23842 |
completed | April 28, 2026, 10:09 p.m. |
Created at: April 8, 2026, 9:39 p.m.