Triple
T568685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin U-Bahn line U6 |
E13613
|
entity |
| Predicate | borderHistory |
P16110
|
FINISHED |
| Object | was divided by the Berlin Wall |
—
|
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: was divided by the Berlin Wall | Statement: [Berlin U-Bahn line U6, borderHistory, was divided by the Berlin Wall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderHistory Context triple: [Berlin U-Bahn line U6, borderHistory, was divided by the Berlin Wall]
-
A.
borderRegime
Indicates the type, rules, or control system governing how movement or interaction is managed across a border between entities.
-
B.
territorialChange
Indicates a change in control or ownership of geographic territory from one entity to another, often as a result of political, legal, or military events.
-
C.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
D.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
E.
demilitarizedBorderWith
Indicates that a border between two entities exists where military forces, installations, and activities are restricted or prohibited by agreement.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b0406d481908af5fc7bc67103fb |
completed | March 1, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69a494c2caac819086ab316fa49d324c |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a498dd579081908e02368a4c5efc8c |
completed | March 1, 2026, 7:51 p.m. |
Created at: March 1, 2026, 7:33 p.m.