Triple
T38638866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirchberg-Thening |
E938535
|
entity |
| Predicate | hasVehicleRegistrationPrefixRegion |
P68833
|
FINISHED |
| Object | LL |
—
|
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: LL | Statement: [Kirchberg-Thening, hasVehicleRegistrationPrefixRegion, LL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVehicleRegistrationPrefixRegion Context triple: [Kirchberg-Thening, hasVehicleRegistrationPrefixRegion, LL]
-
A.
hasVehicleLicensePrefix
chosen
Indicates that one entity has, uses, or is associated with a specific vehicle license plate prefix represented by the other entity.
-
B.
registrationRegion
Indicates the geographic or administrative region in which an entity is officially registered.
-
C.
icaoRegionPrefix
Indicates the regional ICAO prefix that designates the geographic or administrative region associated with an aviation-related entity.
-
D.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
E.
regionPrefix
Indicates that one region’s identifier or code serves as the starting substring (prefix) of another region’s identifier or code, expressing a hierarchical or nested regional relationship.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:32 p.m.