Triple
T17330954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dotaku |
E420812
|
entity |
| Predicate | latestCommonUse |
P127035
|
FINISHED |
| Object | around 3rd century CE |
—
|
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: around 3rd century CE | Statement: [Dotaku, latestCommonUse, around 3rd century CE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latestCommonUse Context triple: [Dotaku, latestCommonUse, around 3rd century CE]
-
A.
moreCommonIn
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
-
B.
contemporaryUse
Indicates that something is currently used or practiced in the present time or modern context.
-
C.
usageAmong
Indicates how frequently or in what manner something is used within a particular group, context, or population.
-
D.
widelyUsedIn
Indicates that something is commonly or extensively utilized within a particular context, domain, or group.
-
E.
moreCommonAs
Indicates that one thing occurs or is observed more frequently in a specified role, form, or context than in another.
- F. None of above. chosen
Provenance (4 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d5c788819092bdc4d3de0ec958 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.