Triple
T13592022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DXN |
E324713
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Jewar Airport |
E324712
|
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: Jewar Airport | Statement: [DXN, alsoKnownAs, Jewar Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jewar Airport Context triple: [DXN, alsoKnownAs, Jewar Airport]
-
A.
Jewar Airport
chosen
Jewar Airport is a major upcoming international airport project in Uttar Pradesh, India, intended to serve the Delhi-NCR region and ease congestion at Indira Gandhi International Airport.
-
B.
Naini Saini Airport
Naini Saini Airport is a regional airport serving the town of Pithoragarh in the hilly state of Uttarakhand, India.
-
C.
Maharana Pratap Airport
Maharana Pratap Airport is the main domestic airport serving the city of Udaipur in the Indian state of Rajasthan.
-
D.
Jamnagar Airport
Jamnagar Airport is a domestic airport in Jamnagar, Gujarat, India, serving as a key regional hub for civilian flights and nearby industrial and defense facilities.
-
E.
Ayodhya Airport
Ayodhya Airport is a modern international airport serving the city of Ayodhya in Uttar Pradesh, India, developed to handle growing religious tourism and regional air traffic.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce60b1248190addfbfc1c5ccd2d1 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 9:49 p.m.