Triple
T6098739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaili language |
E135940
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kaili |
E287514
|
NE 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: Kaili | Statement: [Kaili language, hasAlternativeName, Kaili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaili Context triple: [Kaili language, hasAlternativeName, Kaili]
-
A.
Kaili
chosen
Kaili is a county-level city in southeastern Guizhou, China, known as a cultural center of the Miao and Dong ethnic minorities and a gateway to surrounding minority villages.
-
B.
Honghe
Honghe is an autonomous prefecture-level region in southern Yunnan Province, China, known for its diverse ethnic minority populations and famous terraced rice fields.
-
C.
Dongling
Dongling, also known as the Fuling Tomb, is the mausoleum of the Qing dynasty's founding emperor Nurhaci and his empress, located near Shenyang in northeastern China.
-
D.
Wenshan
Wenshan is a city in southwestern China known for its karst landscapes, ethnic diversity, and role as a regional center in Yunnan.
-
E.
Mengjiang
Mengjiang was a Japanese puppet state established in Inner Mongolia during the Second Sino-Japanese War and World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9a02888190ac201acd14c3fc31 |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125475548819086b733a80056eba5 |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.