Triple
T26365689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altglienicke |
E660324
|
entity |
| Predicate | hasBorderHistory |
P16110
|
FINISHED |
| Object | inner German border area during Berlin division |
—
|
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: inner German border area during Berlin division | Statement: [Altglienicke, hasBorderHistory, inner German border area during Berlin division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorderHistory Context triple: [Altglienicke, hasBorderHistory, inner German border area during Berlin division]
-
A.
borderHistory
chosen
Indicates the historical changes, events, or status of borders between entities over time.
-
B.
hasSharedBorderHistoryWith
Indicates that two entities have a history of sharing a common border or boundary at some point in time.
-
C.
hasBorderControlHistory
Indicates that there is a documented history of actions, policies, or events related to border control involving the associated entities.
-
D.
hadBorder
Indicates that one entity shared a common boundary or frontier with another entity during a specified time period.
-
E.
hasBorderThrough
Indicates that a border between two regions or entities passes through or along a specified intermediate area, feature, or object.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 26, 2026, 10:54 p.m.