Triple
T9667310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charms bar |
E233737
|
entity |
| Predicate | usabilityReception |
P9562
|
FINISHED |
| Object | mixed reviews |
—
|
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: mixed reviews | Statement: [Charms bar, usabilityReception, mixed reviews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usabilityReception Context triple: [Charms bar, usabilityReception, mixed reviews]
-
A.
reception
Indicates the act of receiving or welcoming someone or something, often marking the initial acknowledgment or acceptance in an interaction or process.
-
B.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
-
C.
initialReception
chosen
Indicates the nature or quality of the first response or reaction something receives when it is introduced or presented.
-
D.
availability
Indicates that an entity is present, accessible, or ready for use or interaction by another entity.
-
E.
visitorAccessibility
Indicates how easily or suitably a place, service, or resource can be used or reached by visitors, including those with varying needs or abilities.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3a63948190be3f48f87bdbccf1 |
completed | April 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b3239c8190b3ae3b9bd121e4bd |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:15 p.m.