Triple
T32367904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | borough of Rhüden |
E827044
|
entity |
| Predicate | hasTransportLinksWithin |
P132153
|
FINISHED |
| Object | Seesen urban area |
—
|
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: Seesen urban area | Statement: [borough of Rhüden, hasTransportLinksWithin, Seesen urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransportLinksWithin Context triple: [borough of Rhüden, hasTransportLinksWithin, Seesen urban area]
-
A.
hasGoodTransportLinks
Indicates that a place is well connected to other locations by efficient and convenient transport options.
-
B.
hasPublicTransportConnection
Indicates that there is an available public transportation link or service connecting the related entities.
-
C.
isTransportationLinkBetween
chosen
Indicates that there exists a transportation connection (such as a road, rail, air, or sea route) linking the two entities.
-
D.
hasTransportationRelation
Indicates a relationship in which one entity provides, uses, is connected by, or is otherwise associated with a means or mode of transportation to another entity or location.
-
E.
hasTransportationProximityTo
Indicates that one entity is located near or conveniently accessible to another entity in terms of transportation options or routes.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: May 1, 2026, 12:50 a.m.