Triple
T13363799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jalandhar district |
E318884
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Adampur Airport |
E1013526
|
NE FINISHED |
How this triple was built (2 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: Adampur Airport | Statement: [Jalandhar district, hasAirport, Adampur Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adampur Airport Context triple: [Jalandhar district, hasAirport, Adampur Airport]
-
A.
Adampur Airport
chosen
Adampur Airport is a regional airport in Punjab, India, serving the city of Jalandhar and surrounding areas.
-
B.
Naini Saini Airport
Naini Saini Airport is a regional airport serving the town of Pithoragarh in the hilly state of Uttarakhand, India.
-
C.
Kumbhirgram Airport
Kumbhirgram Airport is a domestic airport serving the city of Silchar in the Indian state of Assam.
-
D.
Karipur Airport
Karipur Airport, officially known as Calicut International Airport, is a major international airport serving the city of Kozhikode in the Indian state of Kerala.
-
E.
Kheria Airport
Kheria Airport is a domestic and military airfield serving the city of Agra in Uttar Pradesh, India, located near the Taj Mahal and operated jointly by the Indian Air Force and civil aviation authorities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628c71ac81908cfa36342077766e |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9ec6848190b8e986d849756050 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:32 p.m.