Triple
T8395210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | western red cedar |
E198034
|
entity |
| Predicate | allergenicity |
P81999
|
FINISHED |
| Object | wood dust can cause respiratory irritation in some people |
—
|
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: wood dust can cause respiratory irritation in some people | Statement: [western red cedar, allergenicity, wood dust can cause respiratory irritation in some people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allergenicity Context triple: [western red cedar, allergenicity, wood dust can cause respiratory irritation in some people]
-
A.
notableAllergenicGenera
Indicates that the subject is associated with genera that are particularly notable for causing allergic reactions.
-
B.
isNonAllergenic
Indicates that something does not cause allergic reactions or is free from common allergens.
-
C.
pollenAllergenicity
Indicates that one entity (typically a type of pollen) has the property or capacity to cause allergic reactions in another entity (such as a person or organism).
-
D.
containsAllergenicCompound
Indicates that the subject entity includes one or more compounds known to cause allergic reactions.
-
E.
pollenType
Indicates the specific kind or category of pollen associated with an entity.
- F. None of above. chosen
Provenance (4 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb81874d6c8190bbc0ac832d8a339d |
completed | March 31, 2026, 8:10 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 6:03 p.m.