Triple
T32920266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Hsiang |
E842124
|
entity |
| Predicate | hasPhonologicalOrigin |
P40496
|
FINISHED |
| Object | Middle Chinese phonological system |
—
|
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: Middle Chinese phonological system | Statement: [Old Hsiang, hasPhonologicalOrigin, Middle Chinese phonological system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhonologicalOrigin Context triple: [Old Hsiang, hasPhonologicalOrigin, Middle Chinese phonological system]
-
A.
hasPhonologicalBasisFor
chosen
Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
-
B.
hasOwnPhonology
Indicates that an entity possesses its own distinct phonological system or set of sound patterns, separate from those of other entities.
-
C.
hasPhonologicalDescription
Indicates that an entity is associated with a specific representation or description of its sound structure or phonological form.
-
D.
hasPhonologicalChange
Indicates a relationship where one linguistic form undergoes a change in its sound structure relative to another form or earlier state.
-
E.
hasPhonologicalType
Indicates that one entity is characterized by or classified as having a particular phonological type (e.g., in terms of sound structure or phonological category).
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: May 1, 2026, 1:19 a.m.