Triple
T9161511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiangmen |
E219834
|
entity |
| Predicate | administers |
P123
|
FINISHED |
| Object | Taishan City |
E482143
|
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: Taishan City | Statement: [Jiangmen, administers, Taishan City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taishan City Context triple: [Jiangmen, administers, Taishan City]
-
A.
Taishan city
chosen
Taishan city is a county-level coastal city in Guangdong Province, China, known for its overseas Chinese heritage and nearby islands such as Shangchuan Island.
-
B.
Taian
Taian is a prefecture-level city in eastern China's Shandong province, best known as the gateway to the sacred Mount Tai.
-
C.
Rongcheng
Rongcheng is a coastal city in eastern Shandong Province, China, known for its fishing industry, scenic seascapes, and location at the eastern tip of the Shandong Peninsula.
-
D.
Rongcheng
Rongcheng is a traditional nickname for Chengdu, the capital city of Sichuan Province in southwestern China, renowned for its rich history, spicy cuisine, and vibrant cultural life.
-
E.
Jining
Jining is a city in Shandong Province, China, historically significant as a transport and commercial hub along the Grand Canal.
- 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.