Triple
T15642729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitou Cape |
E376105
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Ruifang |
E392007
|
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: Ruifang | Statement: [Bitou Cape, hasNearbySettlement, Ruifang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruifang Context triple: [Bitou Cape, hasNearbySettlement, Ruifang]
-
A.
Xinyi
Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
-
B.
Xinyi
Xinyi is a county-level city administered by Maoming in Guangdong Province, China, known for its agriculture and regional commerce.
-
C.
Yuanlin
Yuanlin is a township-level city in Changhua County, central Taiwan, known as a regional commercial and transportation hub.
-
D.
Hsiu-chu
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
-
E.
Ruifang District
chosen
Ruifang District is a coastal and mountainous district in northeastern Taiwan known for its historic mining towns, scenic railways, and popular tourist spots like Jiufen and Shifen.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed23d688190bea996f90989d406 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7568028481908caa1e49541bbcf1 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 4:15 a.m.