Triple
T12191795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eidelstedt station |
E290480
|
entity |
| Predicate | publicTransportZone |
P17300
|
FINISHED |
| Object | HVV |
E602316
|
NE 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: HVV | Statement: [Eidelstedt station, publicTransportZone, HVV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HVV Context triple: [Eidelstedt station, publicTransportZone, HVV]
-
A.
HVV
chosen
HVV is the Hamburg public transport association that coordinates and operates regional transit services in and around Hamburg, Germany.
-
B.
Metro Service A/S
Metro Service A/S is the company responsible for operating and managing the Copenhagen Metro system in Denmark.
-
C.
Ruter
Ruter is the public transport authority responsible for planning, coordinating, and managing bus, tram, metro, and some ferry services in Oslo and parts of Viken, Norway.
-
D.
Hamburger Verkehrsverbund
Hamburger Verkehrsverbund is the integrated public transport association serving Hamburg and its surrounding metropolitan region in northern Germany.
-
E.
Wiener Linien
Wiener Linien is the main public transport operator in Vienna, Austria, running the city’s metro, tram, and bus networks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c54a4648190ad0f84c229534155 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a8d24508190b0a60ca76d775b1e |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.