Triple
T37546055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moisture Surge 100H Auto-Replenishing Hydrator |
E933465
|
entity |
| Predicate | allergyTested |
P188249
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Moisture Surge 100H Auto-Replenishing Hydrator, allergyTested, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allergyTested Context triple: [Moisture Surge 100H Auto-Replenishing Hydrator, allergyTested, true]
-
A.
allergenicity
Indicates that one entity has the capacity to cause an allergic reaction in another entity.
-
B.
isNonAllergenic
Indicates that something does not cause allergic reactions or is free from common allergens.
-
C.
actualAllergenComparison
Indicates a comparison between the actual allergen associated with one entity and the allergen associated with another entity, typically to determine if they match, differ, or how they relate.
-
D.
isAllergenFor
Indicates that one entity acts as an allergen that can trigger an allergic reaction in another entity.
-
E.
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).
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba5ee00fc81909be7b947a3f95034 |
completed | May 6, 2026, 8:34 p.m. |
Created at: May 3, 2026, 4:17 p.m.