Triple
T6973017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIFTY 50 |
E161641
|
entity |
| Predicate | dataVendorCode |
P508
|
FINISHED |
| Object | ^NSEI |
E275870
|
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: ^NSEI | Statement: [NIFTY 50, dataVendorCode, ^NSEI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ^NSEI Context triple: [NIFTY 50, dataVendorCode, ^NSEI]
-
A.
NSE
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
chosen
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.
NSE 20 Share Index
The NSE 20 Share Index is a benchmark stock market index that tracks the performance of 20 leading companies listed on the Nairobi Securities Exchange in Kenya.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3aad108190b19df2d21f5ce168 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761a2b2f481908718b4803cfbfae9 |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:30 p.m.