Triple
T16155187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agra district |
E392020
|
entity |
| Predicate | airport |
P1065
|
FINISHED |
| Object | Agra Airport |
E65071
|
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: Agra Airport | Statement: [Agra district, airport, Agra Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agra Airport Context triple: [Agra district, airport, Agra Airport]
-
A.
Agra Airport
chosen
Agra Airport is a domestic airport in the city of Agra, India, serving as a key air gateway to the Taj Mahal and other nearby tourist attractions.
-
B.
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.
-
C.
Prayagraj Airport
Prayagraj Airport is a domestic airport serving the city of Prayagraj (formerly Allahabad) in the Indian state of Uttar Pradesh.
-
D.
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.
-
E.
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.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5902a08190ad8694955ef6073a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7ae46dc81908cba9152a6080c3a |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.