Triple
T33106761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsingtau |
E847208
|
entity |
| Predicate | after1914Status |
P179861
|
FINISHED |
| Object | under Japanese control |
—
|
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: under Japanese control | Statement: [Tsingtau, after1914Status, under Japanese control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: after1914Status Context triple: [Tsingtau, after1914Status, under Japanese control]
-
A.
statusAfter1910
Indicates the status or condition of an entity as it exists after the year 1910.
-
B.
statusAfter1918
Indicates the status or condition of an entity as it existed after the year 1918.
-
C.
statusAfter1919
Indicates the status or condition of an entity as it existed after the year 1919.
-
D.
statusAfter1917
Indicates the condition or state of an entity as it existed after the year 1917, typically in contrast to its prior status.
-
E.
post1916Status
Indicates the status or condition of an entity after the year 1916, typically in contrast to its prior state.
- F. None of above. chosen
Provenance (4 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_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: May 1, 2026, 1:26 a.m.