Triple
T13572192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jieyang |
E324190
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Jiedong District |
E1101420
|
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: Jiedong District | Statement: [Jieyang, hasDistrict, Jiedong District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiedong District Context triple: [Jieyang, hasDistrict, Jiedong District]
-
A.
Jiedong District
chosen
Jiedong District is an administrative district of Jieyang in Guangdong Province, China, known for its role in the region’s economic and cultural activities.
-
B.
Jianhua District
Jianhua District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern China.
-
C.
Daiyue District
Daiyue District is an administrative district under the jurisdiction of Tai'an City in Shandong Province, China, known for encompassing part of the Mount Tai scenic area.
-
D.
Zhanggong District
Zhanggong District is the central urban district and administrative, economic, and cultural core of Ganzhou in Jiangxi Province, China.
-
E.
Jiawang District
Jiawang District is an administrative district under the jurisdiction of Xuzhou in Jiangsu Province, eastern China, known historically for its coal mining industry.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0106cb48190b20eb9bda131a68a |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a2ae47881909e0e6c23473a9e1c |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:48 p.m.