Triple
T35210334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hangzhouhua |
E1016655
|
entity |
| Predicate | typicalSpeakerIs |
—
|
GENERATED |
| Object | bilingual in Hangzhouhua and Standard Mandarin |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSpeakerIs Context triple: [Hangzhouhua, typicalSpeakerIs, bilingual in Hangzhouhua and Standard Mandarin]
-
A.
typicalSpeaker
chosen
Indicates that the subject is a prototypical or characteristic speaker or source of utterances in the context of the object.
-
B.
typicalSpeakersAre
Indicates that the entities specified are the kinds of speakers who typically use or produce the expression or language in question.
-
C.
typicalRole
Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
-
D.
commonsSpeaker
Indicates that a person serves as the Speaker (presiding officer) of the House of Commons.
-
E.
typicalProfile
Indicates that an entity represents the standard or most representative profile or pattern for another entity.
- F. None of above.
Provenance (1 batch)
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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.