Triple
T31886485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Üstra Hannoversche Verkehrsbetriebe |
E814020
|
entity |
| Predicate | hasTypeOfVehicle |
P1776
|
FINISHED |
| Object | tram vehicle |
—
|
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: tram vehicle | Statement: [Üstra Hannoversche Verkehrsbetriebe, hasTypeOfVehicle, tram vehicle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfVehicle Context triple: [Üstra Hannoversche Verkehrsbetriebe, hasTypeOfVehicle, tram vehicle]
-
A.
hasVehicle
Indicates that one entity possesses, owns, or is assigned a vehicle.
-
B.
vehicleType
chosen
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
-
C.
hasBusType
Indicates that one entity (typically a bus or bus service) is associated with or classified by a specific type or category of bus.
-
D.
vehicleEligibility
Indicates whether a given vehicle satisfies the required conditions or criteria to be considered eligible for a specified purpose or program.
-
E.
vehicleInstanceOf
Indicates that a specific vehicle is an instance of a particular vehicle type or class.
- 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69feaa483fcc81909d8a46b38a8717bf |
completed | May 9, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69fea8c9d45c81908ccc8619e5fefac1 |
completed | May 9, 2026, 3:23 a.m. |
Created at: April 30, 2026, 11:57 p.m.