Triple
T15347487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benxi |
E366961
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object | 本溪 |
E366961
|
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: 本溪 | Statement: [Benxi, hasChineseName, 本溪]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 本溪 Context triple: [Benxi, hasChineseName, 本溪]
-
A.
白山
白山は、東京都文京区に位置する住宅街と商業施設が混在した落ち着いた街並みのエリアです。
-
B.
Benxi
chosen
Benxi is an industrial and mining city in eastern Liaoning Province, China, known for its steel production and nearby scenic karst landscapes.
-
C.
Liaoyang
Liaoyang is an ancient industrial city in northeastern China known for its historical significance and role in the region’s heavy industry.
-
D.
Fushun
Fushun is an industrial city in northeastern China known historically for its coal mining and heavy industry.
-
E.
Fuxin
Fuxin is a prefecture-level city in northeastern China known historically for its coal mining industry and location in western Liaoning Province.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e1749bc8190a8b9cbcb27288a5b |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01fb46b48190a030e40ee0163559 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.