Triple
T19066416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corey–Nicolaou macrolactonization |
E466669
|
entity |
| Predicate | formsProduct |
P83279
|
FINISHED |
| Object | macrolactone |
—
|
LITERAL 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: macrolactone | Statement: [Corey–Nicolaou macrolactonization, formsProduct, macrolactone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsProduct Context triple: [Corey–Nicolaou macrolactonization, formsProduct, macrolactone]
-
A.
productForm
Indicates the specific physical or presentation format in which a product is offered or delivered (e.g., tablet, liquid, package type).
-
B.
productFor
Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
-
C.
byProduct
chosen
Indicates that one entity is produced incidentally or as a secondary result of a process, activity, or creation involving another entity.
-
D.
exportProduct
Indicates that an entity sends or sells a product from its own country or region to another country or external market.
-
E.
productMix
Indicates the combination and relative proportions of different products or product types offered or involved in a given context.
- F. None of above.
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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e198621481908618f65dd01746fc |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.