Triple
T17397698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahayogi Gorakhnath Airport |
E422995
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VEGK
VEGK is the ICAO airport code assigned to Mahayogi Gorakhnath Airport in Gorakhpur, India.
|
E1266800
|
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: VEGK | Statement: [Mahayogi Gorakhnath Airport, ICAOcode, VEGK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VEGK Context triple: [Mahayogi Gorakhnath Airport, ICAOcode, VEGK]
-
A.
VEKU
VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
-
B.
VKG
VKG is the ICAO airline designator assigned to Sunclass Airlines, a Scandinavian leisure carrier operating charter and holiday flights.
-
C.
VEEGA
VEEGA is an interplanetary spacecraft trajectory design that uses successive gravity assists from Venus and Earth to efficiently reach the outer planets with reduced fuel requirements.
-
D.
VGEG
VGEG is the ICAO airport code for Shah Amanat International Airport in Chittagong, Bangladesh.
-
E.
VCEG
VCEG (Video Coding Experts Group) is an ITU-T working group responsible for developing international video compression standards such as H.261, H.263, and H.264/AVC.
- 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: VEGK Triple: [Mahayogi Gorakhnath Airport, ICAOcode, VEGK]
Generated description
VEGK is the ICAO airport code assigned to Mahayogi Gorakhnath Airport in Gorakhpur, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VEGK Target entity description: VEGK is the ICAO airport code assigned to Mahayogi Gorakhnath Airport in Gorakhpur, India.
-
A.
VEKU
VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
-
B.
VKG
VKG is the ICAO airline designator assigned to Sunclass Airlines, a Scandinavian leisure carrier operating charter and holiday flights.
-
C.
VEEGA
VEEGA is an interplanetary spacecraft trajectory design that uses successive gravity assists from Venus and Earth to efficiently reach the outer planets with reduced fuel requirements.
-
D.
VGEG
VGEG is the ICAO airport code for Shah Amanat International Airport in Chittagong, Bangladesh.
-
E.
VCEG
VCEG (Video Coding Experts Group) is an ITU-T working group responsible for developing international video compression standards such as H.261, H.263, and H.264/AVC.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abe6f708190944aad636e1eb9a1 |
completed | April 19, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a00100c48190930c8bf9b6917aa5 |
completed | May 11, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_6a01a176d2488190951bbe07233a37e4 |
completed | May 11, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a58b12088190828078c69c4fff4b |
completed | May 11, 2026, 9:46 a.m. |
Created at: April 10, 2026, 5:45 a.m.