Triple
T38111064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balta |
E951654
|
entity |
| Predicate | wasFrontlineAreaDuring |
P190027
|
FINISHED |
| Object | World War II |
—
|
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: World War II | Statement: [Balta, wasFrontlineAreaDuring, World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFrontlineAreaDuring Context triple: [Balta, wasFrontlineAreaDuring, World War II]
-
A.
basedInDuringConflict
Indicates that an entity is located or headquartered in a particular place for the duration of a specified conflict or war.
-
B.
wasOccupiedDuringWar
Indicates that a place or territory was under military or foreign control for some period during a specified war.
-
C.
hasPrimaryTheatreOfWar
Indicates that an armed conflict or military operation is chiefly conducted within a particular geographic theatre or region of war.
-
D.
wasFrontierBetween
Indicates that one entity historically served as the boundary or border region separating two other entities.
-
E.
wasBombedDuring
Indicates that an entity was subjected to a bombing attack during a specified event or time period.
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:21 p.m.