Triple
T15332391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ada Yonath |
E366566
|
entity |
| Predicate | NobelPrizeCategory |
P1861
|
FINISHED |
| Object | Chemistry |
E73795
|
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: Chemistry | Statement: [Ada Yonath, NobelPrizeCategory, Chemistry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chemistry Context triple: [Ada Yonath, NobelPrizeCategory, Chemistry]
-
A.
Chemistry
chosen
Chemistry is the branch of science that studies the composition, structure, properties, and transformations of matter at the atomic and molecular levels.
-
B.
Chimica
Chimica is a specialized scientific database focused on chemistry literature and research.
-
C.
Chem/Phys
Chem/Phys is a section of the MCAT exam that tests understanding of chemistry and physics principles as they apply to biological systems.
-
D.
CHM
CHM is the National Rail station code for Chelmsford railway station in Essex, England.
-
E.
Chemical Science
Chemical Science is a leading peer-reviewed open-access journal covering cutting-edge research across all areas of chemistry, published by the Royal Society of 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8b2ea5c8190b6e5f3fcbd7c265f |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:17 a.m.