Triple
T2353915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Gabriel Mugabe International Airport |
E47510
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
FVHA
FVHA is the ICAO airport code for Robert Gabriel Mugabe International Airport in Harare, Zimbabwe.
|
E257666
|
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: FVHA | Statement: [Robert Gabriel Mugabe International Airport, ICAOcode, FVHA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FVHA Context triple: [Robert Gabriel Mugabe International Airport, ICAOcode, FVHA]
-
A.
FHC
FHC is the commonly used acronym and honorific referring to Fernando Henrique Cardoso, a prominent Brazilian sociologist and former president of Brazil.
-
B.
FV
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
-
C.
HAVA
HAVA is the commonly used acronym for the Help America Vote Act, a U.S. federal law enacted to improve the administration and security of elections.
-
D.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
E.
HVN
HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
- 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: FVHA Triple: [Robert Gabriel Mugabe International Airport, ICAOcode, FVHA]
Generated description
FVHA is the ICAO airport code for Robert Gabriel Mugabe International Airport in Harare, Zimbabwe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FVHA Target entity description: FVHA is the ICAO airport code for Robert Gabriel Mugabe International Airport in Harare, Zimbabwe.
-
A.
FHC
FHC is the commonly used acronym and honorific referring to Fernando Henrique Cardoso, a prominent Brazilian sociologist and former president of Brazil.
-
B.
FV
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
-
C.
HAVA
HAVA is the commonly used acronym for the Help America Vote Act, a U.S. federal law enacted to improve the administration and security of elections.
-
D.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
E.
HVN
HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6fa6ecc8190821c9d5db341cf19 |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9633ce3c81908581e7e0f8211ac1 |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae971aa3bc8190b0b8b216106dca90 |
completed | March 9, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae9795cf048190bc7a01ef86c12138 |
completed | March 9, 2026, 9:49 a.m. |
Created at: March 4, 2026, 7:54 p.m.