Triple
T7085064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durgapur Airport |
E165054
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VEDG
VEDG is the ICAO airport code for Kazi Nazrul Islam Airport serving Durgapur in West Bengal, India.
|
E641052
|
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: VEDG | Statement: [Durgapur Airport, ICAOcode, VEDG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VEDG Context triple: [Durgapur Airport, ICAOcode, VEDG]
-
A.
VGEG
VGEG is the ICAO airport code for Shah Amanat International Airport in Chittagong, Bangladesh.
-
B.
VECC
VECC is the ICAO airport code for Netaji Subhas Chandra Bose International Airport in Kolkata, India.
-
C.
VEBD
VEBD is the ICAO airport code for Bagdogra Airport, a major airport serving Siliguri and the surrounding region in West Bengal, India.
-
D.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
-
E.
VE
VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
- 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: VEDG Triple: [Durgapur Airport, ICAOcode, VEDG]
Generated description
VEDG is the ICAO airport code for Kazi Nazrul Islam Airport serving Durgapur in West Bengal, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VEDG Target entity description: VEDG is the ICAO airport code for Kazi Nazrul Islam Airport serving Durgapur in West Bengal, India.
-
A.
VGEG
VGEG is the ICAO airport code for Shah Amanat International Airport in Chittagong, Bangladesh.
-
B.
VECC
VECC is the ICAO airport code for Netaji Subhas Chandra Bose International Airport in Kolkata, India.
-
C.
VEBD
VEBD is the ICAO airport code for Bagdogra Airport, a major airport serving Siliguri and the surrounding region in West Bengal, India.
-
D.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
-
E.
VE
VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e511535c819098f60de54930380f |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7948094ec8190856870dfd59fc13a |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c796acdddc8190a2d20b4d40751359 |
completed | March 28, 2026, 8:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c797b416a881908c58376498f20c58 |
completed | March 28, 2026, 8:56 a.m. |
Created at: March 27, 2026, 2:41 p.m.