Triple
T7822154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ranchi |
E181156
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Birsa Munda Airport
Birsa Munda Airport is the main domestic airport serving Ranchi and the surrounding region in the Indian state of Jharkhand.
|
E711998
|
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: Birsa Munda Airport | Statement: [Ranchi, hasAirport, Birsa Munda Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birsa Munda Airport Context triple: [Ranchi, hasAirport, Birsa Munda Airport]
-
A.
Kumbhirgram Airport
Kumbhirgram Airport is a domestic airport serving the city of Silchar in the Indian state of Assam.
-
B.
Mohanbari Airport
Mohanbari Airport is a regional airport serving the Upper Assam area of northeastern India, providing air connectivity for passengers and cargo.
-
C.
Ghat Airport
Ghat Airport is a small regional airport serving the town of Ghat in southwestern Libya, primarily handling domestic flights.
-
D.
Lata Airport
Lata Airport is a small regional airfield serving the town of Lata in the Solomon Islands, providing vital air connectivity to this remote area.
-
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. 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: Birsa Munda Airport Triple: [Ranchi, hasAirport, Birsa Munda Airport]
Generated description
Birsa Munda Airport is the main domestic airport serving Ranchi and the surrounding region in the Indian state of Jharkhand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Birsa Munda Airport Target entity description: Birsa Munda Airport is the main domestic airport serving Ranchi and the surrounding region in the Indian state of Jharkhand.
-
A.
Kumbhirgram Airport
Kumbhirgram Airport is a domestic airport serving the city of Silchar in the Indian state of Assam.
-
B.
Mohanbari Airport
Mohanbari Airport is a regional airport serving the Upper Assam area of northeastern India, providing air connectivity for passengers and cargo.
-
C.
Ghat Airport
Ghat Airport is a small regional airport serving the town of Ghat in southwestern Libya, primarily handling domestic flights.
-
D.
Lata Airport
Lata Airport is a small regional airfield serving the town of Lata in the Solomon Islands, providing vital air connectivity to this remote area.
-
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. 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa095d7081908b3e492ce58b5d5f |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9340c99c819085294de7466f40eb |
completed | April 1, 2026, 3:38 a.m. |
| NEDg | Description generation | batch_69cc955542fc8190a84be60f4efea915 |
completed | April 1, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc964c6b308190ae121072b1180268 |
completed | April 1, 2026, 3:51 a.m. |
Created at: March 30, 2026, 4:41 p.m.