Triple
T4839219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Babasaheb Ambedkar International Airport |
E108136
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VANP
VANP is the ICAO airport code for Dr. Babasaheb Ambedkar International Airport in Nagpur, India.
|
E474832
|
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: VANP | Statement: [Dr. Babasaheb Ambedkar International Airport, ICAOcode, VANP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VANP Context triple: [Dr. Babasaheb Ambedkar International Airport, ICAOcode, VANP]
-
A.
VABP
VABP is the ICAO airport code for Raja Bhoj Airport, the primary airport serving Bhopal in the Indian state of Madhya Pradesh.
-
B.
VAPR
VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
-
C.
VABO
VABO is the ICAO airport code assigned to Vadodara Airport in Gujarat, India.
-
D.
VAB
VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
-
E.
NVP
NVP is the official station code for Nieuw-Vennep railway station in the Netherlands.
- 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: VANP Triple: [Dr. Babasaheb Ambedkar International Airport, ICAOcode, VANP]
Generated description
VANP is the ICAO airport code for Dr. Babasaheb Ambedkar International Airport in Nagpur, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VANP Target entity description: VANP is the ICAO airport code for Dr. Babasaheb Ambedkar International Airport in Nagpur, India.
-
A.
VABP
VABP is the ICAO airport code for Raja Bhoj Airport, the primary airport serving Bhopal in the Indian state of Madhya Pradesh.
-
B.
VAPR
VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
-
C.
VABO
VABO is the ICAO airport code assigned to Vadodara Airport in Gujarat, India.
-
D.
VAB
VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
-
E.
NVP
NVP is the official station code for Nieuw-Vennep railway station in the Netherlands.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce4a5108190aede620d5dde1f81 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cc5861881908ad3838168325a34 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be5ed104e48190b01ea97094be6a96 |
completed | March 21, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5fe07d708190ba0dde4c081e15c6 |
completed | March 21, 2026, 9:07 a.m. |
Created at: March 20, 2026, 1:25 p.m.