Triple
T13484951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamshedpur |
E318470
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Sonari Airport
Sonari Airport is a domestic airport serving the industrial city of Jamshedpur in the Indian state of Jharkhand.
|
E1050457
|
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: Sonari Airport | Statement: [Jamshedpur, hasAirport, Sonari Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonari Airport Context triple: [Jamshedpur, hasAirport, Sonari Airport]
-
A.
Gando Airport
Gando Airport is the main international airport serving Gran Canaria in Spain’s Canary Islands.
-
B.
Pasighat Airport
Pasighat Airport is a regional airport in Arunachal Pradesh, India, serving the town of Pasighat and surrounding areas with civilian air connectivity.
-
C.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
D.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
-
E.
Mopa Airport
Mopa Airport, officially known as Manohar International Airport, is a modern international airport serving the state of Goa, India.
- 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: Sonari Airport Triple: [Jamshedpur, hasAirport, Sonari Airport]
Generated description
Sonari Airport is a domestic airport serving the industrial city of Jamshedpur in the Indian state of Jharkhand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sonari Airport Target entity description: Sonari Airport is a domestic airport serving the industrial city of Jamshedpur in the Indian state of Jharkhand.
-
A.
Gando Airport
Gando Airport is the main international airport serving Gran Canaria in Spain’s Canary Islands.
-
B.
Pasighat Airport
Pasighat Airport is a regional airport in Arunachal Pradesh, India, serving the town of Pasighat and surrounding areas with civilian air connectivity.
-
C.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
D.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
-
E.
Mopa Airport
Mopa Airport, officially known as Manohar International Airport, is a modern international airport serving the state of Goa, India.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f7fcab0819091146d54d56f08d7 |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f78125632881908d601ee4c4aaae35 |
completed | May 3, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f781e32cb48190abc83e65405ac8ac |
completed | May 3, 2026, 5:12 p.m. |
Created at: April 9, 2026, 9:42 p.m.