Triple
T6354822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jilu Mandarin |
E142963
|
entity |
| Predicate | hasStandardPronunciationBasis |
P5210
|
FINISHED |
| Object | local urban centers in Hebei and Shandong |
—
|
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: local urban centers in Hebei and Shandong | Statement: [Jilu Mandarin, hasStandardPronunciationBasis, local urban centers in Hebei and Shandong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandardPronunciationBasis Context triple: [Jilu Mandarin, hasStandardPronunciationBasis, local urban centers in Hebei and Shandong]
-
A.
hasStandardPronunciationBasedOn
chosen
Indicates that one entity’s standard or canonical pronunciation is determined or derived from another entity’s pronunciation.
-
B.
hasPhonologicalStandard
Indicates that one entity serves as the accepted or prescribed phonological norm or standard for the pronunciation system of another entity.
-
C.
hasStandardizedGrammar
Indicates that a language or notation follows an officially defined and consistently applied set of grammatical rules.
-
D.
hasRomanizationStandard
Indicates that an entity’s romanized form follows a specified romanization standard or system.
-
E.
hasPhonologicalBasisFor
Indicates that one entity serves as the phonological source, motivation, or foundation for another 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e0cf1081908ee7e83b9dcf740e |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:31 p.m.