Triple
T12618386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaya Airport |
E301314
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VEGY
VEGY is the ICAO airport code for Gaya Airport, a public airport serving the city of Gaya in the Indian state of Bihar.
|
E992120
|
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: VEGY | Statement: [Gaya Airport, ICAOcode, VEGY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VEGY Context triple: [Gaya Airport, ICAOcode, VEGY]
-
A.
VEGT
VEGT is the ICAO airport code for Lokpriya Gopinath Bordoloi International Airport in Guwahati, India.
-
B.
VEBG
VEBG is the ICAO airport code assigned to Balurghat Airport in West Bengal, India.
-
C.
Veggli
Veggli is a village in Buskerud county, Norway, known as the main local settlement and service center of the Rollag municipality.
-
D.
Vegesack
Vegesack is a district of the German city of Bremen, known historically as a port and shipbuilding center at the confluence of the Weser and Lesum rivers.
-
E.
Vada
Vada is a personal given name used by Vada Wamwene Mescudi, the daughter of American musician and actor Kid Cudi.
- 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: VEGY Triple: [Gaya Airport, ICAOcode, VEGY]
Generated description
VEGY is the ICAO airport code for Gaya Airport, a public airport serving the city of Gaya in the Indian state of Bihar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VEGY Target entity description: VEGY is the ICAO airport code for Gaya Airport, a public airport serving the city of Gaya in the Indian state of Bihar.
-
A.
VEGT
VEGT is the ICAO airport code for Lokpriya Gopinath Bordoloi International Airport in Guwahati, India.
-
B.
VEBG
VEBG is the ICAO airport code assigned to Balurghat Airport in West Bengal, India.
-
C.
Veggli
Veggli is a village in Buskerud county, Norway, known as the main local settlement and service center of the Rollag municipality.
-
D.
Vegesack
Vegesack is a district of the German city of Bremen, known historically as a port and shipbuilding center at the confluence of the Weser and Lesum rivers.
-
E.
Vada
Vada is a personal given name used by Vada Wamwene Mescudi, the daughter of American musician and actor Kid Cudi.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c63ea48190ae1aae9280a023a6 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed507988190b9d46586f3c3584c |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f65fb03b248190b264230b84b17635 |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6608ec32c8190803c6f5677c300d6 |
completed | May 2, 2026, 8:37 p.m. |
Created at: April 9, 2026, 5:13 p.m.