Triple
T15873573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paro Airport |
E384889
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VQPR
VQPR is the ICAO airport code for Paro Airport, the primary international airport of Bhutan known for its challenging approach amid Himalayan terrain.
|
E1180943
|
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: VQPR | Statement: [Paro Airport, ICAOcode, VQPR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VQPR Context triple: [Paro Airport, ICAOcode, VQPR]
-
A.
QVT
QVT (Query/View/Transformation) is an OMG standard language for specifying model-to-model transformations in model-driven software engineering.
-
B.
VVPQ
VVPQ is the ICAO airport code assigned to Phu Quoc International Airport in Vietnam.
-
C.
CYVQ
CYVQ is the ICAO airport code for Norman Wells Airport, a regional air transport hub in the Northwest Territories of Canada.
-
D.
QAVS
QAVS is a prestigious UK national honour that recognises outstanding voluntary groups for their exceptional service to local communities.
-
E.
QOR
QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
- 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: VQPR Triple: [Paro Airport, ICAOcode, VQPR]
Generated description
VQPR is the ICAO airport code for Paro Airport, the primary international airport of Bhutan known for its challenging approach amid Himalayan terrain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VQPR Target entity description: VQPR is the ICAO airport code for Paro Airport, the primary international airport of Bhutan known for its challenging approach amid Himalayan terrain.
-
A.
QVT
QVT (Query/View/Transformation) is an OMG standard language for specifying model-to-model transformations in model-driven software engineering.
-
B.
VVPQ
VVPQ is the ICAO airport code assigned to Phu Quoc International Airport in Vietnam.
-
C.
CYVQ
CYVQ is the ICAO airport code for Norman Wells Airport, a regional air transport hub in the Northwest Territories of Canada.
-
D.
QAVS
QAVS is a prestigious UK national honour that recognises outstanding voluntary groups for their exceptional service to local communities.
-
E.
QOR
QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fc02688190b6f070882b846516 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa94e9b548190bec74e6d9790d241 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaa07df788190bae67f3d9a800331 |
completed | May 9, 2026, 9:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaaa92a648190a09829ef3197223c |
completed | May 9, 2026, 9:44 p.m. |
Created at: April 10, 2026, 4:51 a.m.