Triple
T7029090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagdogra Airport |
E163226
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VEBD
VEBD is the ICAO airport code for Bagdogra Airport, a major airport serving Siliguri and the surrounding region in West Bengal, India.
|
E637444
|
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: VEBD | Statement: [Bagdogra Airport, ICAOcode, VEBD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VEBD Context triple: [Bagdogra Airport, ICAOcode, VEBD]
-
A.
VE
VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
-
B.
VEN
VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
-
C.
BV
BV is the two-letter ISO 3166 country code assigned to Bouvet Island, a remote uninhabited Norwegian territory in the South Atlantic Ocean.
-
D.
VABB
VABB is the ICAO airport code for Chhatrapati Shivaji Maharaj International Airport, the primary international airport serving Mumbai, India.
-
E.
VAB
VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
- 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: VEBD Triple: [Bagdogra Airport, ICAOcode, VEBD]
Generated description
VEBD is the ICAO airport code for Bagdogra Airport, a major airport serving Siliguri and the surrounding region in West Bengal, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VEBD Target entity description: VEBD is the ICAO airport code for Bagdogra Airport, a major airport serving Siliguri and the surrounding region in West Bengal, India.
-
A.
VE
VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
-
B.
VEN
VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
-
C.
BV
BV is the two-letter ISO 3166 country code assigned to Bouvet Island, a remote uninhabited Norwegian territory in the South Atlantic Ocean.
-
D.
VABB
VABB is the ICAO airport code for Chhatrapati Shivaji Maharaj International Airport, the primary international airport serving Mumbai, India.
-
E.
VAB
VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e200ecdc819098ca07473dfb272a |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775919734819083beb10b4c2b146e |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c7791d319881909470d0fa5f38f68e |
completed | March 28, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c779f5342881909085cae84299831c |
completed | March 28, 2026, 6:49 a.m. |
Created at: March 27, 2026, 2:35 p.m.