Triple
T14026397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jolly Grant Airport, Dehradun |
E337467
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VIDN
VIDN is the ICAO airport code for Jolly Grant Airport serving Dehradun in the Indian state of Uttarakhand.
|
E1075887
|
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: VIDN | Statement: [Jolly Grant Airport, Dehradun, ICAOcode, VIDN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VIDN Context triple: [Jolly Grant Airport, Dehradun, ICAOcode, VIDN]
-
A.
VIDN
VIDN is the four-letter ICAO airport code assigned to Noida International Airport in Uttar Pradesh, India.
-
B.
VIDO
VIDO is a Canadian research organization at the University of Saskatchewan specializing in vaccine development and infectious disease research for both humans and animals.
-
C.
Vdio
Vdio was an online video-on-demand and streaming service launched by Skype and Rdio co-founder Janus Friis as an attempt to compete with platforms like Netflix.
-
D.
VIDP
VIDP is the ICAO airport code for Indira Gandhi International Airport, the primary international aviation hub serving New Delhi, India.
-
E.
Viddy
Viddy was a mobile social video-sharing app that allowed users to create, edit, and share short video clips with an online community.
- 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: VIDN Triple: [Jolly Grant Airport, Dehradun, ICAOcode, VIDN]
Generated description
VIDN is the ICAO airport code for Jolly Grant Airport serving Dehradun in the Indian state of Uttarakhand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VIDN Target entity description: VIDN is the ICAO airport code for Jolly Grant Airport serving Dehradun in the Indian state of Uttarakhand.
-
A.
VIDN
VIDN is the four-letter ICAO airport code assigned to Noida International Airport in Uttar Pradesh, India.
-
B.
VIDO
VIDO is a Canadian research organization at the University of Saskatchewan specializing in vaccine development and infectious disease research for both humans and animals.
-
C.
Vdio
Vdio was an online video-on-demand and streaming service launched by Skype and Rdio co-founder Janus Friis as an attempt to compete with platforms like Netflix.
-
D.
VIDP
VIDP is the ICAO airport code for Indira Gandhi International Airport, the primary international aviation hub serving New Delhi, India.
-
E.
Viddy
Viddy was a mobile social video-sharing app that allowed users to create, edit, and share short video clips with an online community.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa830ac81908cb7df7c9e81e42a |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc333b7a08190b4f121fef69f7513 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc438f85308190ae917812686006f6 |
completed | May 7, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444a30a48190a2f65afcd5424d14 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:20 p.m.