Triple
T17508758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinjiang |
E426393
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Nan'an |
—
|
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: Nan'an | Statement: [Jinjiang, borderedBy, Nan'an]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nan'an Context triple: [Jinjiang, borderedBy, Nan'an]
-
A.
Nan’an
chosen
Nan’an is a county-level city administered by Quanzhou in Fujian Province, China, known for its historical ties to maritime trade and its rapidly developing manufacturing economy.
-
B.
Yong’an
Yong’an was the era name used during part of Eastern Wu emperor Sun Xiu’s reign in the Three Kingdoms period of Chinese history.
-
C.
Zhao’an
Zhao’an is a county-level area in southern Fujian Province, China, known for its coastal location and role as a regional transport and agricultural hub.
-
D.
Nan’an District
Nan’an District is an urban district of Chongqing, China, located on the southern bank of the Yangtze River and known for its mix of residential, commercial, and scenic areas.
-
E.
Xin'an
Xin'an is the historical name of the region now known as Huizhou in Guangdong, China, reflecting its earlier administrative and cultural identity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525a43208190b8728214767428c0 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.