Triple
T27541701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yanxi |
E695252
|
entity |
| Predicate | typeOfUsage |
P195674
|
FINISHED |
| Object | nien-hao (era name) |
—
|
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: nien-hao (era name) | Statement: [Yanxi, typeOfUsage, nien-hao (era name)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfUsage Context triple: [Yanxi, typeOfUsage, nien-hao (era name)]
-
A.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
B.
usageCategory
Indicates the classification of how something is used or the type of usage it falls under.
-
C.
usageAmong
Indicates how frequently or in what manner something is used within a particular group, context, or population.
-
D.
partOfUse
Indicates that something functions as a component or constituent within the use or application of something else.
-
E.
typeOfUtility
Indicates that one entity is a specific kind or category of utility associated with another entity.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
| PDg | Predicate description generation | batch_69fddf70ab10819088b76bd98e208354 |
completed | May 8, 2026, 1:04 p.m. |
Created at: April 27, 2026, 1:31 p.m.