Triple
T195370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biogen |
E3807
|
entity |
| Predicate | tradedAs |
P2822
|
FINISHED |
| Object | NASDAQ:BIIB |
E3807
|
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: NASDAQ:BIIB | Statement: [Biogen, tradedAs, NASDAQ:BIIB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NASDAQ:BIIB Context triple: [Biogen, tradedAs, NASDAQ:BIIB]
-
A.
Biogen
chosen
Biogen is a major American biotechnology company known for developing therapies for neurological and neurodegenerative diseases.
-
B.
Genentech
Genentech is a pioneering American biotechnology company known for developing groundbreaking therapies and being one of the first firms to apply genetic engineering to medicine.
-
C.
BSE Global
BSE Global is the sports and entertainment company that owns and operates the Brooklyn Nets and related properties.
-
D.
NASDAQ
NASDAQ is a major American electronic stock exchange known for listing many of the world’s leading technology and growth companies.
-
E.
BB-37
BB-37 is the hull number of USS Oklahoma, a Nevada-class battleship of the United States Navy that was sunk during the attack on Pearl Harbor in 1941.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25969425081908e178db8ba4631c2 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3115c46688190be8d5e172b4c61ea |
completed | Feb. 28, 2026, 4:01 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.