Triple
T6272741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grozny Airport |
E140576
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
GRV
GRV is the IATA airport code for Grozny Airport, the main air gateway serving Grozny in the Chechen Republic of Russia.
|
E580352
|
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: GRV | Statement: [Grozny Airport, IATAcode, GRV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GRV Context triple: [Grozny Airport, IATAcode, GRV]
-
A.
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.
-
B.
GRO
GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
-
C.
GRR
GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
-
D.
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.
-
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: GRV Triple: [Grozny Airport, IATAcode, GRV]
Generated description
GRV is the IATA airport code for Grozny Airport, the main air gateway serving Grozny in the Chechen Republic of Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GRV Target entity description: GRV is the IATA airport code for Grozny Airport, the main air gateway serving Grozny in the Chechen Republic of Russia.
-
A.
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.
-
B.
GRO
GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
-
C.
GRR
GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
-
D.
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.
-
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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063bca5488190b9da3c037cfc7953 |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2446ad060819094acd817ba5eadc9 |
completed | March 24, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_69c4fb6bb9bc8190a29ae09221aa5464 |
completed | March 26, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fc075dd881908230bb66d1445d5a |
completed | March 26, 2026, 9:27 a.m. |
Created at: March 22, 2026, 4:25 p.m.