Triple
T34021150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gāhā Sattasaī |
E872384
|
entity |
| Predicate | typicalSpeakerInPoems |
—
|
GENERATED |
| Object | women |
—
|
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: typicalSpeakerInPoems Context triple: [Gāhā Sattasaī, typicalSpeakerInPoems, women]
-
A.
typicalSpeaker
Indicates that the subject is a prototypical or characteristic speaker or source of utterances in the context of the object.
-
B.
typicalSpeakersAre
chosen
Indicates that the entities specified are the kinds of speakers who typically use or produce the expression or language in question.
-
C.
hasPoeticSpeaker
Indicates that one entity functions as the poetic speaker or voice expressing the content of another entity (such as a poem or lyrical work).
-
D.
characterizesPoetAs
Indicates that one entity portrays, defines, or describes a poet in terms of particular qualities, roles, or attributes.
-
E.
favoritePoet
Indicates that one entity is the poet whom another entity prefers above all other poets.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:51 a.m.