Triple
T7722948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morton International |
E175057
|
entity |
| Predicate | specialtyChemicalsProduct |
P67838
|
FINISHED |
| Object | adhesives |
—
|
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: adhesives | Statement: [Morton International, specialtyChemicalsProduct, adhesives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specialtyChemicalsProduct Context triple: [Morton International, specialtyChemicalsProduct, adhesives]
-
A.
chemicalTypeProduced
chosen
Indicates that a process, reaction, or entity results in the production of a specific type or class of chemical.
-
B.
chemicalComponent
Indicates that one entity is a constituent chemical part or ingredient of another entity.
-
C.
keyChemicalDiscussed
Indicates that a particular chemical substance is a central topic of discussion in a given context or communication.
-
D.
containsChemical
Indicates that one entity includes or has within it a specified chemical substance.
-
E.
hasChemicalClass
Indicates that an entity belongs to, or is categorized under, a particular chemical class based on its structural or compositional characteristics.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:05 p.m.