Triple
T11463307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ovda Airport |
E271714
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
VDA
VDA is the IATA airport code for Ovda Airport, a former joint military-civilian airfield in southern Israel that has handled international charter and low-cost flights.
|
E927861
|
NE FINISHED |
How this triple was built (4 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: VDA | Statement: [Ovda Airport, hasIATAcode, VDA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VDA Context triple: [Ovda Airport, hasIATAcode, VDA]
-
A.
VAND
VAND is the ICAO airport code assigned to Shri Guru Gobind Singh Ji Airport in India.
-
B.
VDV
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
-
C.
VAN
VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
-
D.
DAF
DAF is the acronym for the German Labour Front, the Nazi-era organization that replaced trade unions in Germany and controlled workers and employers under a state-run labor system.
-
E.
DAF
DAF is the OECD’s Directorate for Financial and Enterprise Affairs, responsible for developing international policies and standards on finance, corporate governance, competition, and investment.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VDA Triple: [Ovda Airport, hasIATAcode, VDA]
Generated description
VDA is the IATA airport code for Ovda Airport, a former joint military-civilian airfield in southern Israel that has handled international charter and low-cost flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VDA Target entity description: VDA is the IATA airport code for Ovda Airport, a former joint military-civilian airfield in southern Israel that has handled international charter and low-cost flights.
-
A.
VAND
VAND is the ICAO airport code assigned to Shri Guru Gobind Singh Ji Airport in India.
-
B.
VDV
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
-
C.
VAN
VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
-
D.
DAF
DAF is the acronym for the German Labour Front, the Nazi-era organization that replaced trade unions in Germany and controlled workers and employers under a state-run labor system.
-
E.
DAF
DAF is the OECD’s Directorate for Financial and Enterprise Affairs, responsible for developing international policies and standards on finance, corporate governance, competition, and investment.
- F. None of above. chosen
Provenance (5 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f488248190b9f603cd31c72174 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e92a7c2881908d85009a6069b2e4 |
completed | April 20, 2026, 8:51 a.m. |
| NEDg | Description generation | batch_69e5f1593c2c8190885f80ad5eeba3ec |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f87bbd988190ac388a3c34b2e95a |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.