Triple
T27791692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glister |
E701096
|
entity |
| Predicate | hygieneFocus |
P157391
|
FINISHED |
| Object | oral health maintenance |
—
|
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: oral health maintenance | Statement: [Glister, hygieneFocus, oral health maintenance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hygieneFocus Context triple: [Glister, hygieneFocus, oral health maintenance]
-
A.
requiresAblution
Indicates that performing the referenced action or participating in the referenced state or event is contingent upon first completing a ritual washing or purification (ablution).
-
B.
healthHabit
chosen
Indicates a relationship where an entity regularly engages in a behavior or practice that affects its health or well-being.
-
C.
hasCleaningFacility
Indicates that an entity provides or is equipped with a facility or service for cleaning.
-
D.
focusesOnMedicalCare
Indicates that one entity directs attention, resources, or activity specifically toward providing or improving medical care for another entity.
-
E.
sanitationInfrastructure
Indicates the presence, quality, or extent of facilities and systems designed to safely manage human waste and maintain hygienic environmental conditions.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63808280c8190aa654c05ebdeec0e |
completed | May 2, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:28 p.m.