Triple
T11320959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P BSE SENSEX |
E268091
|
entity |
| Predicate | dataVendor |
P9837
|
FINISHED |
| Object | Google Finance |
E554124
|
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: Google Finance | Statement: [S&P BSE SENSEX, dataVendor, Google Finance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google Finance Context triple: [S&P BSE SENSEX, dataVendor, Google Finance]
-
A.
Google Finance
chosen
Google Finance is a web-based service by Google that provides real-time and historical stock market data, financial news, and portfolio tracking tools for investors and analysts.
-
B.
Yahoo Finance
Yahoo Finance is a popular online platform providing real-time stock quotes, financial news, market data, and investment tools for individual and professional investors.
-
C.
Nasdaq Data Link
Nasdaq Data Link is a financial data platform that provides access to a wide range of market, economic, and alternative datasets via APIs and tools for investors, analysts, and developers.
-
D.
Boursorama
Boursorama is a French online bank and financial services company known for its low-cost digital banking and brokerage offerings.
-
E.
Finance Road
Finance Road is a street located in New Delhi, India, in the central administrative area near major government buildings and cultural institutions.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9dff37081909622623e66e17ccd |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525e2549081909ec99e4c7006fd66 |
completed | April 19, 2026, 6:58 p.m. |
Created at: April 8, 2026, 9:32 p.m.