Triple
T21233526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geisa |
E523283
|
entity |
| Predicate | formerBorderStatus |
P87896
|
FINISHED |
| Object | near inner-German border between East and West Germany |
—
|
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: near inner-German border between East and West Germany | Statement: [Geisa, formerBorderStatus, near inner-German border between East and West Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerBorderStatus Context triple: [Geisa, formerBorderStatus, near inner-German border between East and West Germany]
-
A.
boundaryStatus
Indicates the status or condition of a boundary between entities, such as whether it is defined, active, disputed, or otherwise characterized.
-
B.
borderStateOf
Indicates that one state shares a common boundary or border with another state.
-
C.
borderStateOrigin
Indicates that a state shares a land or maritime border with the place where an entity originated.
-
D.
nearFormerBorderWith
chosen
Indicates that one entity is located close to where the former border or boundary with another entity used to be.
-
E.
laterFormedBorderBetween
Indicates that the relationship or boundary between two entities was established at a later time, forming a border between them after an earlier period or state.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734b1524c8190a77eaf2fabd601c3 |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:45 p.m.