Triple
T33106762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsingtau |
E847208
|
entity |
| Predicate | afterWorldWarIStatus |
P32617
|
FINISHED |
| Object | part of Republic of China |
—
|
LITERAL 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: part of Republic of China | Statement: [Tsingtau, afterWorldWarIStatus, part of Republic of China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afterWorldWarIStatus Context triple: [Tsingtau, afterWorldWarIStatus, part of Republic of China]
-
A.
after1914Status
Indicates the status or condition of an entity specifically in the period after the year 1914.
-
B.
statusAfter1918
chosen
Indicates the status or condition of an entity as it existed after the year 1918.
-
C.
statusAfterWWII
Indicates the condition, role, or classification an entity had following the end of World War II.
-
D.
legalStatusAfterWar
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
-
E.
postwarOutcome
Indicates the result or consequences that follow for a party or situation after a war has ended.
- F. None of above.
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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 1:26 a.m.