Triple
T9816526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shangluo |
E238418
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Ankang |
E204096
|
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: Ankang | Statement: [Shangluo, borderedBy, Ankang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ankang Context triple: [Shangluo, borderedBy, Ankang]
-
A.
Ankang
chosen
Ankang is a prefecture-level city in southern Shaanxi Province, China, known for its mountainous terrain and location along the Han River.
-
B.
Bo'an
Bo'an is the courtesy name of Wang Yangming, the influential Ming dynasty philosopher, statesman, and Neo-Confucian thinker.
-
C.
Guanghe
Guanghe was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
-
D.
Raoping
Raoping is a coastal county in eastern Guangdong, China, known for its Teochew culture and strategic location along major transport routes.
-
E.
Huai-an
Huai-an is an older romanized spelling of Huaian, a prefecture-level city in Jiangsu Province, China, known for its historical significance and canal-based waterways.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f4a1548190a5afc5ee0d7da392 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc6c64dc8190979be34255dc22e5 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:30 p.m.