Triple
T27997950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langen (Hess) station |
E707065
|
entity |
| Predicate | isPartOfTransportAssociation |
P8428
|
FINISHED |
| Object | Rhein-Main-Verkehrsverbund |
—
|
NE NERFINISHED |
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: Rhein-Main-Verkehrsverbund | Statement: [Langen (Hess) station, isPartOfTransportAssociation, Rhein-Main-Verkehrsverbund]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfTransportAssociation Context triple: [Langen (Hess) station, isPartOfTransportAssociation, Rhein-Main-Verkehrsverbund]
-
A.
partOfTransitSystem
chosen
Indicates that something is a component or segment within a larger transit or transportation system.
-
B.
associatedWithTransitSystem
Indicates that an entity has a connection or involvement with a particular transit or transportation system.
-
C.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
D.
transportAssociated
Indicates an association between entities where one is involved in, related to, or characterized by the transport or movement of the other.
-
E.
isPublicTransportBackboneOf
Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 27, 2026, 7:54 p.m.