Triple
T32315955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinghpaw |
E825632
|
entity |
| Predicate | hasStandardVarietyCenter |
P5199
|
FINISHED |
| Object | Myitkyina |
—
|
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: Myitkyina | Statement: [Jinghpaw, hasStandardVarietyCenter, Myitkyina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandardVarietyCenter Context triple: [Jinghpaw, hasStandardVarietyCenter, Myitkyina]
-
A.
hasNonStandardizedVarieties
Indicates that an entity possesses forms or variants that are not governed by a uniform or officially established standard.
-
B.
standardVarietyBasedIn
chosen
Indicates that a standard or reference variety (such as a language or dialect) is primarily established, recognized, or centered in a particular location or region.
-
C.
hasStandardizationCenter
Indicates that an entity is associated with or served by a specific center responsible for standardization activities, such as developing, maintaining, or coordinating standards.
-
D.
hasVarietyOf
Indicates that an entity possesses or offers multiple different types, forms, or versions of something.
-
E.
isPrimaryVarietyOf
Indicates that one variety is the main or principal form of another related variety or entity.
- 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_69f3491213b88190a57094d8697a7455 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
Created at: May 1, 2026, 12:46 a.m.