Triple
T8186194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiaoling Hakka |
E191189
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Meizhou City |
E708131
|
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: Meizhou City | Statement: [Jiaoling Hakka, spokenIn, Meizhou City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meizhou City Context triple: [Jiaoling Hakka, spokenIn, Meizhou City]
-
A.
Meizhou
chosen
Meizhou is a city in eastern Guangdong, China, known as a cultural and historical center of the Hakka people.
-
B.
Mianyang
Mianyang is a major city in southwestern China known as an important industrial and technological center within Sichuan Province.
-
C.
Yibin
Yibin is a historic prefecture-level city in southwestern China known as the "First City on the Yangtze River," where the Jinsha and Min rivers converge to form the Yangtze.
-
D.
Xichang
Xichang is a city in Sichuan Province, China, known as a major hub for the country’s space launch activities and related aerospace industry.
-
E.
Nanchong
Nanchong is a major city in northeastern Sichuan Province, China, known as a regional transportation and economic hub with a long historical and cultural heritage.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c52407c8190bd366fce6d4e02cd |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd94bbdc288190aee5187e95ca7a8d |
completed | April 1, 2026, 9:57 p.m. |
Created at: March 30, 2026, 5:41 p.m.