Triple
T1190257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Berlin |
E25341
|
entity |
| Predicate | capitalUntil |
P19052
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [East Berlin, capitalUntil, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalUntil Context triple: [East Berlin, capitalUntil, 1990]
-
A.
capital
Indicates that one place serves as the official seat of government or primary administrative center for another political entity.
-
B.
capitalRenamedFrom
Indicates that a capital city previously had a different name, specifying the former name from which it was renamed.
-
C.
capitalRenamedTo
Indicates that a place’s status or name as a capital city has been changed to a new capital designation or name.
-
D.
capitalStatusStart
chosen
Indicates the point in time when a place first acquires its status as a capital.
-
E.
authorizedCapital
Indicates the legally approved maximum amount of share capital that a company is permitted to issue under its corporate charter or governing documents.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd58d8d88190b8d9c9c9de7f4e97 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.