Triple
T684950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAE Systems |
E13264
|
entity |
| Predicate | tradedAs |
P2822
|
FINISHED |
| Object | LSE:BA |
E6664
|
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: LSE:BA | Statement: [BAE Systems, tradedAs, LSE:BA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSE:BA Context triple: [BAE Systems, tradedAs, LSE:BA]
-
A.
London Stock Exchange
chosen
The London Stock Exchange is one of the world’s oldest and largest securities exchanges, serving as a global hub for equity, bond, and derivatives trading.
-
B.
BSE Global
BSE Global is the sports and entertainment company that owns and operates the Brooklyn Nets and related properties.
-
C.
Bombay Stock Exchange
The Bombay Stock Exchange is one of Asia’s oldest and largest stock exchanges, serving as a major financial marketplace in India for trading equities, derivatives, and other securities.
-
D.
Borsa Italiana
Borsa Italiana is Italy’s main stock exchange, based in Milan and a key marketplace for trading Italian and international securities.
-
E.
Euronext
Euronext is a pan-European stock exchange group that operates major securities markets across several European countries, including the Netherlands, France, Belgium, and others.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0924dec8190bbbd2bb244f85211 |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3a743c08190be4db12e2ed39ffb |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.