Triple
T7984281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partition of Jin |
E185650
|
entity |
| Predicate | successorState |
P3025
|
FINISHED |
| Object | Wei |
E519903
|
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: Wei | Statement: [Partition of Jin, successorState, Wei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wei Context triple: [Partition of Jin, successorState, Wei]
-
A.
Wei
chosen
Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
-
B.
Wen
Wen is the given name of Sun I-hsien, a person identifiable by this personal name within Chinese naming conventions.
-
C.
Wisen
Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
-
D.
Wem
Wem is a small market town and civil parish in the county of Shropshire, England.
-
E.
Wil
Wil is a common shortened form of the given name Willem, often used as an informal or familiar nickname.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c2b543c81909b82bc478d579e0b |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0e0b2748190930c22c6157d1b07 |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:15 p.m.