Triple
T7347117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uyghur Arabic alphabet |
E169406
|
entity |
| Predicate | primaryUsagePeriod |
P4017
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Uyghur Arabic alphabet, primaryUsagePeriod, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUsagePeriod Context triple: [Uyghur Arabic alphabet, primaryUsagePeriod, 20th century]
-
A.
periodOfMajorUse
chosen
Indicates the time span during which something was primarily or most intensively used.
-
B.
primaryServicePeriod
Indicates the main or most significant span of time during which a service, duty, or activity is performed or in effect.
-
C.
durationOfUse
Indicates the length of time for which something is used or remains in use.
-
D.
typicalUseDays
Indicates the usual or expected number of days over which something is used or intended to be used.
-
E.
usedDuring
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:05 p.m.