Triple
T4131007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayer |
E85040
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
BAYN
BAYN is the stock ticker symbol for Bayer AG, the German multinational pharmaceutical and life sciences company.
|
E414739
|
NE FINISHED |
How this triple was built (4 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: BAYN | Statement: [Bayer, tickerSymbol, BAYN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BAYN Context triple: [Bayer, tickerSymbol, BAYN]
-
A.
Bayeu
Bayeu is a Spanish surname most notably associated with the 18th-century painter Francisco Bayeu, a prominent figure in the court of King Charles III and collaborator of Francisco Goya.
-
B.
BYN
BYN is the ISO 4217 currency code for the current Belarusian ruble, the official currency of Belarus.
-
C.
Bais
Bais is a coastal city in Negros Oriental, Philippines, known for its sugar industry and as a popular jumping-off point for dolphin and whale watching in the Tañon Strait.
-
D.
BAW
BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
-
E.
Baish
Baish is a coastal city in southwestern Saudi Arabia’s Jazan Region, known for its agricultural surroundings and proximity to the Red Sea.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BAYN Triple: [Bayer, tickerSymbol, BAYN]
Generated description
BAYN is the stock ticker symbol for Bayer AG, the German multinational pharmaceutical and life sciences company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BAYN Target entity description: BAYN is the stock ticker symbol for Bayer AG, the German multinational pharmaceutical and life sciences company.
-
A.
Bayeu
Bayeu is a Spanish surname most notably associated with the 18th-century painter Francisco Bayeu, a prominent figure in the court of King Charles III and collaborator of Francisco Goya.
-
B.
BYN
BYN is the ISO 4217 currency code for the current Belarusian ruble, the official currency of Belarus.
-
C.
Bais
Bais is a coastal city in Negros Oriental, Philippines, known for its sugar industry and as a popular jumping-off point for dolphin and whale watching in the Tañon Strait.
-
D.
BAW
BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
-
E.
Baish
Baish is a coastal city in southwestern Saudi Arabia’s Jazan Region, known for its agricultural surroundings and proximity to the Red Sea.
- F. None of above. chosen
Provenance (5 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af021f6a508190b8ac1e0d8b859f74 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c26d4c81909b8be74855cbd03f |
completed | March 14, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69b577c2b784819096d8218dd1c1478d |
completed | March 14, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5782cc448819080e306952da24ac0 |
completed | March 14, 2026, 3:01 p.m. |
Created at: March 9, 2026, 3:42 p.m.