Triple
T15203055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BT |
E363313
|
entity |
| Predicate | stockSymbol |
P1447
|
FINISHED |
| Object | BT.A |
E1143408
|
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: BT.A | Statement: [BT, stockSymbol, BT.A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BT.A Context triple: [BT, stockSymbol, BT.A]
-
A.
BT.A
chosen
BT.A is the London Stock Exchange ticker symbol for BT Group plc, a major British multinational telecommunications company.
-
B.
BAT
BAT is a major multinational tobacco company known for producing and marketing cigarettes and other nicotine products worldwide.
-
C.
BAT
BAT is the regional public transportation agency serving Brockton, Massachusetts and surrounding communities.
-
D.
BAT
BAT is a high-energy astrophysics instrument designed to rapidly detect and locate gamma-ray bursts in space.
-
E.
BAT
BAT is a cryptocurrency token used within the Brave browser ecosystem to reward users for viewing privacy-respecting ads and to compensate content creators.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b693a48190a6230b7b52bc8cd3 |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd2dc6f08190a8f1612ac29a8654 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:10 a.m.