Triple
T23280011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puyuma language |
E588831
|
entity |
| Predicate | spokenInSettlement |
P109887
|
FINISHED |
| Object | Taitung City |
—
|
NE NERFINISHED |
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: Taitung City | Statement: [Puyuma language, spokenInSettlement, Taitung City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenInSettlement Context triple: [Puyuma language, spokenInSettlement, Taitung City]
-
A.
spokenInSettlementType
Indicates that a language or dialect is spoken within settlements of a specified type (e.g., city, village, town).
-
B.
spokenInLocality
chosen
Indicates that a language, dialect, or speech form is used or spoken within a specific locality or geographic area.
-
C.
spokenInCounty
Indicates that a particular language or dialect is spoken within the geographic area of a specified county.
-
D.
spokenInUrbanArea
Indicates that an utterance or speech event occurs within a city or densely populated urban environment.
-
E.
spokenInPrefecture
Indicates that a particular language or dialect is spoken within the geographic area of a specified prefecture.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196419eac819081d0beb5767046dc |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:50 p.m.