Triple
T6506536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yantai Port |
E150022
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Yantai city |
E161767
|
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: Yantai city | Statement: [Yantai Port, serves, Yantai city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yantai city Context triple: [Yantai Port, serves, Yantai city]
-
A.
Yantai
chosen
Yantai is a coastal city in Shandong Province, China, known for its port, wine production, and scenic beaches along the Bohai Sea.
-
B.
Weifang
Weifang is a prefecture-level city in eastern China known for its kite-making tradition and annual international kite festival.
-
C.
Dongying
Dongying is a coastal prefecture-level city in Shandong Province, eastern China, known as the headquarters of the China National Petroleum Corporation and for its location at the mouth of the Yellow River.
-
D.
Rizhao
Rizhao is a coastal city in eastern China known for its sunny climate, beaches, and port on the Yellow Sea.
-
E.
Binzhou
Binzhou is a prefecture-level city in northern Shandong Province, China, located near the lower reaches of the Yellow River and known for its developing industrial and agricultural economy.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6996818c881909d036f916da0efb5 |
completed | March 27, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d50b15f081909bb7024fa57d528b |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 27, 2026, 1:43 p.m.