Triple
T15590979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinzhou Port |
E374740
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | city of Jinzhou |
E77141
|
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: city of Jinzhou | Statement: [Jinzhou Port, near, city of Jinzhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Jinzhou Context triple: [Jinzhou Port, near, city of Jinzhou]
-
A.
Beizhen City
Beizhen City is a county-level city in Liaoning Province, China, administered by the prefecture-level city of Jinzhou.
-
B.
Yuzhou City
Yuzhou City is a county-level city in central China's Henan Province, known for its historical significance and cultural heritage, and is administered by the prefecture-level city of Xuchang.
-
C.
Jinzhou
chosen
Jinzhou is a prefecture-level port city in southwestern Liaoning Province, northeastern China, known for its industrial base and coastal location on the Bohai Sea.
-
D.
Jilin City
Jilin City is a major industrial and transportation hub in northeastern China, situated along the Songhua River in central Jilin Province.
-
E.
Jiyuan City
Jiyuan City is a county-level city in Henan Province, China, known for its mountainous scenery and historical sites such as Mount Wangwu.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4b903c8190a35f9267cb38e721 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c5baac819099d53896f6a35d94 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:11 a.m.