Triple
T14491886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adani Airports |
E359380
|
entity |
| Predicate | ownsOrOperates |
P13496
|
FINISHED |
| Object | Lucknow Airport |
E1021949
|
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: Lucknow Airport | Statement: [Adani Airports, ownsOrOperates, Lucknow Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucknow Airport Context triple: [Adani Airports, ownsOrOperates, Lucknow Airport]
-
A.
Lucknow Airport
chosen
Lucknow Airport, officially known as Chaudhary Charan Singh International Airport, is a major international airport serving the city of Lucknow in the Indian state of Uttar Pradesh.
-
B.
Prayagraj Airport
Prayagraj Airport is a domestic airport serving the city of Prayagraj (formerly Allahabad) in the Indian state of Uttar Pradesh.
-
C.
Kanpur Airport
Kanpur Airport is a domestic airport serving the city of Kanpur in Uttar Pradesh, India, handling regional passenger flights and limited commercial operations.
-
D.
Varanasi Airport
Varanasi Airport, now known as Lal Bahadur Shastri International Airport, is the main air gateway serving the ancient city of Varanasi in Uttar Pradesh, India.
-
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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930d820481908b9813014dd02540 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda90c365481908a8a060cb1908775 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:20 a.m.