Triple
T7640034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shah Makhdum Airport |
E172974
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VGRJ
VGRJ is the ICAO airport code for Shah Makhdum Airport, a regional airport serving Rajshahi in Bangladesh.
|
E677809
|
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: VGRJ | Statement: [Shah Makhdum Airport, ICAOcode, VGRJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VGRJ Context triple: [Shah Makhdum Airport, ICAOcode, VGRJ]
-
A.
GRJ
GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
-
B.
VIGR
VIGR is the ICAO airport code assigned to Gwalior Airport in Gwalior, India.
-
C.
GVRA
GVRA is a state agency in Georgia that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and maintain employment.
-
D.
VGZR
VGZR was the former ICAO airport code assigned to Hazrat Shahjalal International Airport in Dhaka, Bangladesh.
-
E.
GVG
GVG is the standard abbreviation for the German Courts Constitution Act, a key statute that regulates the structure and jurisdiction of the ordinary courts in Germany.
- 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: VGRJ Triple: [Shah Makhdum Airport, ICAOcode, VGRJ]
Generated description
VGRJ is the ICAO airport code for Shah Makhdum Airport, a regional airport serving Rajshahi in Bangladesh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VGRJ Target entity description: VGRJ is the ICAO airport code for Shah Makhdum Airport, a regional airport serving Rajshahi in Bangladesh.
-
A.
GRJ
GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
-
B.
VIGR
VIGR is the ICAO airport code assigned to Gwalior Airport in Gwalior, India.
-
C.
GVRA
GVRA is a state agency in Georgia that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and maintain employment.
-
D.
VGZR
VGZR was the former ICAO airport code assigned to Hazrat Shahjalal International Airport in Dhaka, Bangladesh.
-
E.
GVG
GVG is the standard abbreviation for the German Courts Constitution Act, a key statute that regulates the structure and jurisdiction of the ordinary courts in Germany.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facc4b5481908697e662b0991e3f |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870cd11648190b9aeedadb7bc1981 |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c872a531e08190b7488f576dcd7de4 |
completed | March 29, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c873846a188190a3a1cc56ac247fb0 |
completed | March 29, 2026, 12:34 a.m. |
Created at: March 27, 2026, 3:57 p.m.