Triple
T9161514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiangmen |
E219834
|
entity |
| Predicate | administers |
P123
|
FINISHED |
| Object | Enping City |
E541866
|
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: Enping City | Statement: [Jiangmen, administers, Enping City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enping City Context triple: [Jiangmen, administers, Enping City]
-
A.
Enping
chosen
Enping is a county-level city in Guangdong Province, China, known as part of the Sze Yup region and for its significant overseas Chinese diaspora.
-
B.
Wanning
Wanning is a county-level coastal city in southeastern Hainan, China, known for its tropical climate, beaches, and surf-friendly bays.
-
C.
Huanghua Town
Huanghua Town is a township-level division in the Changsha area of Hunan Province, China, known primarily for encompassing the vicinity of Changsha Huanghua International Airport.
-
D.
Haining
Haining is a county-level city in Zhejiang Province, China, known for its dramatic tidal bore on the Qiantang River and its textile industry.
-
E.
Haozhou
Haozhou is a historical city in China, known as the birthplace of the Hongwu Emperor, founder of the Ming dynasty.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2ac0508190b2f5c801c2c26d66 |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0547073cc8190999fe640c7ccd373 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:21 p.m.