Triple
T12722535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurt Eschenheimer Tor station |
E304020
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | VGF |
E800184
|
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: VGF | Statement: [Frankfurt Eschenheimer Tor station, operator, VGF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VGF Context triple: [Frankfurt Eschenheimer Tor station, operator, VGF]
-
A.
VGF
chosen
VGF is the municipal public transport operator responsible for running Frankfurt am Main’s urban transit network, including its U-Bahn and tram services.
-
B.
VGC
VGC is a prominent upscale residential and commercial estate located in the Eti-Osa area of Lagos, Nigeria.
-
C.
VGT
VGT is the IATA airport code for North Las Vegas Airport, a general aviation facility serving the Las Vegas area in Nevada, USA.
-
D.
VGN
VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
-
E.
VG
VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964133fe481909a44b8159ab8997b |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c841edc81909147d30c51471c47 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:24 p.m.