Triple
T17091670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayer cross |
E414740
|
entity |
| Predicate | usedOn |
P2367
|
FINISHED |
| Object | Bayer corporate communications |
E85040
|
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: Bayer corporate communications | Statement: [Bayer cross, usedOn, Bayer corporate communications]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayer corporate communications Context triple: [Bayer cross, usedOn, Bayer corporate communications]
-
A.
Bayer
chosen
Bayer is a major German multinational pharmaceutical and life sciences company known for products such as aspirin and its work in healthcare and agriculture.
-
B.
Bayer Sager
Bayer Sager is the surname of Carole Bayer Sager, an American songwriter known for numerous pop hits and award-winning collaborations.
-
C.
BASF
BASF is a major German chemical company and one of the world's largest producers of chemicals and related products.
-
D.
Boehringer Ingelheim
Boehringer Ingelheim is a major German research-driven pharmaceutical company known for developing prescription medicines, animal health products, and biopharmaceuticals worldwide.
-
E.
K+S Aktiengesellschaft
K+S Aktiengesellschaft is a German chemical company best known as one of the world’s leading producers of potash and salt products for agricultural, industrial, and consumer markets.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfa09b08190be4303dd0d174feb |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eec0d5c8190806e756aae848ba2 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.