Triple
T32383536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanchang dialect |
E827484
|
entity |
| Predicate | capitalCityDialectOf |
P192853
|
FINISHED |
| Object | Jiangxi Province |
—
|
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: Jiangxi Province | Statement: [Nanchang dialect, capitalCityDialectOf, Jiangxi Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalCityDialectOf Context triple: [Nanchang dialect, capitalCityDialectOf, Jiangxi Province]
-
A.
capitalCityLanguageInfluence
Indicates how the language used in a capital city affects, shapes, or spreads to other regions or language communities.
-
B.
nationalCapitalInLanguage
Indicates that the name of a national capital is expressed or represented in a specified language.
-
C.
modernCityNameLanguage
Indicates that the modern name of a city is expressed in a particular language.
-
D.
capitalOfType
Indicates that one entity serves as the capital city (or administrative capital) of a specified type of political or administrative unit represented by the other entity.
-
E.
capitalOftenLocatedIn
Indicates that the capital city of a region or country is frequently, though not always, situated within a particular location or type of area.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
| PDg | Predicate description generation | batch_69fd2cf29f808190856ab1d43a51d5c7 |
completed | May 8, 2026, 12:23 a.m. |
Created at: May 1, 2026, 12:51 a.m.