Triple
T9886955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xikou Town |
E180956
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ningbo |
E17171
|
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: Ningbo | Statement: [Xikou Town, locatedIn, Ningbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ningbo Context triple: [Xikou Town, locatedIn, Ningbo]
-
A.
Wenzhou
Wenzhou is a major coastal city in southeastern Zhejiang Province, China, known for its entrepreneurial culture, export-driven economy, and large overseas Chinese community.
-
B.
Jiaxing
Jiaxing is a historic city in eastern China's Zhejiang province, best known as one of the birthplaces of the Chinese Communist Party and an important regional economic and cultural center.
-
C.
Hangzhou
Hangzhou is a major city in eastern China renowned for its historic West Lake, rich cultural heritage, and role as a key economic and technological hub in the Yangtze River Delta region.
-
D.
Ningbo-Zhoushan
chosen
Ningbo-Zhoushan is a major deep-water port complex in eastern China that ranks among the world’s busiest in cargo throughput and serves as a key maritime gateway for global trade.
-
E.
Jinhua
Jinhua is a prefecture-level city in eastern China known for its historical sites, transportation hub role, and famous local ham products.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb457c8cc81909d211d5882228076 |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d7cc8e481909efdd1333ae740a3 |
completed | April 5, 2026, 7:21 a.m. |
Created at: March 30, 2026, 8:39 p.m.