Triple
T15137306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leipziger Straße intersection |
E361586
|
entity |
| Predicate | inTransportContext |
P50154
|
FINISHED |
| Object | important east–west connection in Berlin |
—
|
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: important east–west connection in Berlin | Statement: [Leipziger Straße intersection, inTransportContext, important east–west connection in Berlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inTransportContext Context triple: [Leipziger Straße intersection, inTransportContext, important east–west connection in Berlin]
-
A.
hasTransportContext
Indicates that there exists a transportation-related situation, setting, or conditions under which the associated entities or actions take place.
-
B.
hasTransportationContext
chosen
Indicates that there is a contextual relationship involving transportation modes, conditions, or circumstances relevant to the associated entities or event.
-
C.
usesTransport
Indicates that an entity employs or relies on a particular mode or means of transportation to move from one place to another.
-
D.
typicalTransportObject
Indicates that one entity is a typical or commonly used object for transporting or carrying the other entity.
-
E.
transportedFor
Indicates that one entity was moved or carried from one place to another for the benefit, use, or purpose of another entity or activity.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b59b488190b0016970647e7483 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:07 a.m.