Triple
T9867265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bavarian Sea |
E239863
|
entity |
| Predicate | hasShoreSettlement |
P16159
|
FINISHED |
| Object | Chieming |
E762851
|
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: Chieming | Statement: [Bavarian Sea, hasShoreSettlement, Chieming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chieming Context triple: [Bavarian Sea, hasShoreSettlement, Chieming]
-
A.
Chieming
chosen
Chieming is a Bavarian municipality on the eastern shore of Lake Chiemsee in southern Germany, known for its lakeside tourism and scenic Alpine surroundings.
-
B.
Haiming
Haiming is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location near the Austrian border.
-
C.
Haiming
Haiming is a municipality in the Tyrolean Alps of western Austria, known for its scenic mountain setting and proximity to popular outdoor recreation areas.
-
D.
Yingchao
Yingchao is the given name of Deng Yingchao, a prominent Chinese revolutionary leader and influential politician in the 20th century.
-
E.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d209ac8190b9bc9ff017a132da |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e45add0481909a0416035054a563 |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:36 p.m.