Triple
T6076483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sri Guru Ram Dass Jee International Airport |
E135412
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VIAR
VIAR is the ICAO airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
|
E565652
|
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: VIAR | Statement: [Sri Guru Ram Dass Jee International Airport, ICAOcode, VIAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VIAR Context triple: [Sri Guru Ram Dass Jee International Airport, ICAOcode, VIAR]
-
A.
VIAG
VIAG is the ICAO airport code for Agra Airport, a public and military airfield serving the city of Agra in Uttar Pradesh, India.
-
B.
Via
Via is a diminutive form of the given name Olivia, often used as a short, affectionate nickname.
-
C.
VIV
VIV is the ICAO airline designator assigned to Viva Aerobus, a Mexican low-cost carrier.
-
D.
vAuto
vAuto is an automotive software company that provides inventory management and pricing tools to car dealerships to optimize used and new vehicle retailing.
-
E.
Vias
Vias is a coastal commune in southern France’s Hérault department, known for its Mediterranean beaches and proximity to the Canal du Midi.
- 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: VIAR Triple: [Sri Guru Ram Dass Jee International Airport, ICAOcode, VIAR]
Generated description
VIAR is the ICAO airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VIAR Target entity description: VIAR is the ICAO airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
-
A.
VIAG
VIAG is the ICAO airport code for Agra Airport, a public and military airfield serving the city of Agra in Uttar Pradesh, India.
-
B.
Via
Via is a diminutive form of the given name Olivia, often used as a short, affectionate nickname.
-
C.
VIV
VIV is the ICAO airline designator assigned to Viva Aerobus, a Mexican low-cost carrier.
-
D.
vAuto
vAuto is an automotive software company that provides inventory management and pricing tools to car dealerships to optimize used and new vehicle retailing.
-
E.
Vias
Vias is a coastal commune in southern France’s Hérault department, known for its Mediterranean beaches and proximity to the Canal du Midi.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575ec63081908a868a41855acf73 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d43f7908190845c2337cd243a3c |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11db0b62c81908584215a5092a7a8 |
completed | March 23, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11e4685d08190ac97e2356e64527e |
completed | March 23, 2026, 11:04 a.m. |
Created at: March 22, 2026, 4:11 p.m.