Triple
T37546032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moisture Surge 100H Auto-Replenishing Hydrator |
E933465
|
entity |
| Predicate | marketedHydrationDuration |
P188248
|
FINISHED |
| Object | 100 hours |
—
|
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: 100 hours | Statement: [Moisture Surge 100H Auto-Replenishing Hydrator, marketedHydrationDuration, 100 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketedHydrationDuration Context triple: [Moisture Surge 100H Auto-Replenishing Hydrator, marketedHydrationDuration, 100 hours]
-
A.
hydrationSupport
Indicates that one entity provides or enhances the hydration of another entity, helping to maintain or improve its water balance.
-
B.
hydrationState
Indicates the current level or condition of how much water or fluid an entity contains or has available.
-
C.
timeInWater
Indicates the duration or amount of time that an entity spends in water.
-
D.
typicalDurationInAdults
Indicates the usual length of time this condition, event, or process lasts in adult individuals.
-
E.
commonDuration
Indicates that two or more events, actions, or states share the same length of time.
- 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.