Triple
T7080918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changchun |
E164950
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Hsinking |
E111208
|
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: Hsinking | Statement: [Changchun, formerName, Hsinking]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hsinking Context triple: [Changchun, formerName, Hsinking]
-
A.
Hsinking
chosen
Hsinking was the name given to Changchun when it served as the capital of the Japanese puppet state of Manchukuo in the early 20th century.
-
B.
Sink
Sink is a common English surname shared by individuals such as American actress Sadie Sink.
-
C.
Sink or Swim
"Sink or Swim" is the 2007 debut studio album by American rock band The Gaslight Anthem, blending punk energy with heartland rock influences.
-
D.
River Suck
River Suck is a major river in western Ireland that flows through counties such as Roscommon and Galway before joining the River Shannon.
-
E.
Overboard
Overboard is a 1987 romantic comedy film starring Goldie Hawn and Kurt Russell, known for its amnesia-based plot and lighthearted take on class differences and family.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4f1f5748190b214856bcfc70d81 |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79477a79c81909b51175a24d17142 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:40 p.m.