Triple
T34499378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seelow Heights |
E885704
|
entity |
| Predicate | preWarUse |
P79060
|
FINISHED |
| Object | agricultural land and rural settlements |
—
|
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: agricultural land and rural settlements | Statement: [Seelow Heights, preWarUse, agricultural land and rural settlements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preWarUse Context triple: [Seelow Heights, preWarUse, agricultural land and rural settlements]
-
A.
primaryUseLateWar
Indicates that something was used primarily during the later phase of a war, rather than in its early or middle stages.
-
B.
preWarCapacity
Indicates the capacity or level something had before a war or major conflict occurred.
-
C.
wartimeUse
Indicates that something is used or employed during a period of war or armed conflict.
-
D.
preWarCountry
Indicates that a country existed or held a particular status prior to a specified war or major armed conflict.
-
E.
prewarStatus
chosen
Indicates the condition, role, or circumstances of an entity as they existed before a specific war or armed conflict.
- 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_69f349cafcec8190997b45b3fdc16c27 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:01 a.m.