Triple
T6026619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cangzhou |
E134196
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 沧州 |
E134196
|
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: 沧州 | Statement: [Cangzhou, nativeName, 沧州]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 沧州 Context triple: [Cangzhou, nativeName, 沧州]
-
A.
Cangzhou
chosen
Cangzhou is a prefecture-level city in eastern Hebei Province, China, known for its location near the Bohai Sea and its traditional martial arts heritage.
-
B.
Hengshui
Hengshui is a prefecture-level city in southeastern Hebei Province, China, known for its traditional culture, agriculture, and growing industrial base.
-
C.
Qingzhou
Qingzhou is a historic county-level city in eastern China known for its cultural heritage and location in central Shandong Province.
-
D.
Weifang
Weifang is a prefecture-level city in eastern China known for its kite-making tradition and annual international kite festival.
-
E.
Laizhou
Laizhou is a county-level coastal city in northeastern Shandong Province, China, known for its salt, gold, and chemical industries.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560cdc308190b25ca8ecb42c4e4f |
completed | March 22, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113799d648190a08516a33a5f92b7 |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:07 p.m.