Triple
T4251746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universität Irchel |
E95868
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | ZVV |
E390723
|
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: ZVV | Statement: [Universität Irchel, fareSystem, ZVV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZVV Context triple: [Universität Irchel, fareSystem, ZVV]
-
A.
ZVV
chosen
ZVV is the Zürcher Verkehrsverbund, the integrated public transport network and fare association for the Zurich metropolitan area in Switzerland.
-
B.
EV Zug
EV Zug is a professional ice hockey club from Zug, Switzerland, known as one of the prominent teams in the country’s top-tier league.
-
C.
ZVVZ USK Praha
ZVVZ USK Praha is a prominent Czech women's basketball club based in Prague that competes at the top level of domestic and European competitions.
-
D.
BZZ
BZZ is the IATA airport code for RAF Brize Norton, a major Royal Air Force transport and air-to-air refuelling base in Oxfordshire, England.
-
E.
BVG
BVG is Berlin’s main public transport company, operating the city’s U-Bahn, trams, buses, and ferries.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ea059108190aa00f0f20673e0ac |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a88225288190bb627de15da77c42 |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.