Triple
T8541077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nairobi Securities Exchange |
E202195
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NSE |
E202195
|
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: NSE | Statement: [Nairobi Securities Exchange, abbreviation, NSE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NSE Context triple: [Nairobi Securities Exchange, abbreviation, NSE]
-
A.
NSE
chosen
NSE is the Nairobi-based stock exchange that serves as Kenya’s primary securities market for trading shares, bonds, and other financial instruments.
-
B.
NSE
NSE is the IATA airport code for Naval Air Station Whiting Field, a U.S. Navy air training facility in Florida.
-
C.
NSE
NSE is India’s leading electronic stock exchange, known for its advanced trading infrastructure and benchmark indices like the Nifty 50.
-
D.
NSE
NSE is a regional Japanese stock exchange based in Nagoya that facilitates the trading of securities.
-
E.
NYSE
The NYSE (New York Stock Exchange) is one of the world’s largest and most influential stock exchanges, where shares of major public companies are bought and sold.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e10bc081909a7210c577b807fb |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6da3d65c819087ed6b46dfc35885 |
completed | April 2, 2026, 1:22 p.m. |
Created at: March 30, 2026, 6:18 p.m.