Triple
T8824243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chemische Fabrik Griesheim-Elektron |
E209974
|
entity |
| Predicate | sharesMergedWith |
P84826
|
FINISHED |
| Object | Hoechst |
E213164
|
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: Hoechst | Statement: [Chemische Fabrik Griesheim-Elektron, sharesMergedWith, Hoechst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoechst Context triple: [Chemische Fabrik Griesheim-Elektron, sharesMergedWith, Hoechst]
-
A.
Hoechst
chosen
Hoechst was a major German chemical and pharmaceutical company that later became part of the conglomerate IG Farben.
-
B.
Ciba-Geigy
Ciba-Geigy was a major Swiss pharmaceutical and chemical company that became one of the predecessors of Novartis after its merger with Sandoz in 1996.
-
C.
Bayer
Bayer is a major German multinational pharmaceutical and life sciences company known for products such as aspirin and its work in healthcare and agriculture.
-
D.
Schering
Schering is a German surname most notably associated with Ernst Schering, a 19th-century pharmacist and founder of the pharmaceutical company Schering AG.
-
E.
Syntex
Syntex was a pioneering pharmaceutical company best known for its role in developing the first oral contraceptive pill and advancing steroid chemistry.
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc603220508190b64e22dec3ee5ceb |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa05742948190bcec72a080f6837a |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:46 p.m.