Triple
T25301387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Danzig |
E634351
|
entity |
| Predicate | statusOfDanzigBefore |
P163828
|
FINISHED |
| Object | Free City under League of Nations protection |
—
|
NE NERFINISHED |
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: Free City under League of Nations protection | Statement: [Battle of Danzig, statusOfDanzigBefore, Free City under League of Nations protection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfDanzigBefore Context triple: [Battle of Danzig, statusOfDanzigBefore, Free City under League of Nations protection]
-
A.
statusBefore1918
Indicates that a particular status, condition, or classification applied to an entity prior to the year 1918.
-
B.
statusOfTirpitzAfterOperation
Indicates the condition or state of the Tirpitz following the specified military operation.
-
C.
statusInCommunistPoland
Indicates the social, legal, or political standing an entity held within the societal system of communist-era Poland.
-
D.
wasBombedOn
Indicates that a location or target experienced a bombing event at a specific time or date.
-
E.
PolishCasualties
Indicates the number or extent of casualties suffered by Polish forces or population in a given conflict or event.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 21, 2026, 1:24 p.m.