Triple
T9530173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volgograd International Airport |
E229868
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object | VOG |
E229868
|
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: VOG | Statement: [Volgograd International Airport, hasIATAcode, VOG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VOG Context triple: [Volgograd International Airport, hasIATAcode, VOG]
-
A.
VOG
chosen
VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
-
B.
VOH
VOH is the vehicle registration code used on license plates for the district of Neustadt an der Waldnaab in Bavaria, Germany.
-
C.
VOZ
VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
-
D.
VOZ
VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
-
E.
VOW
VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b2de3081909be70d9ab187dce6 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c38a3848190ab3561f70497c9eb |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 8 p.m.