Triple
T799803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin Atlantic |
E17103
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VIR
VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
|
E94387
|
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: VIR | Statement: [Virgin Atlantic, ICAOcode, VIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VIR Context triple: [Virgin Atlantic, ICAOcode, VIR]
-
A.
VRA
VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
-
B.
V.
V. is Thomas Pynchon's 1963 debut novel, a complex, postmodern work that interweaves multiple narratives and historical periods in a quest surrounding the mysterious figure or concept known only as "V."
-
C.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
-
D.
VT
VT is the standard two-letter postal abbreviation used to represent the U.S. state of Vermont.
-
E.
VRE
VRE is a commuter rail service that operates in Northern Virginia and the Washington, D.C. metropolitan area, providing weekday passenger trains primarily for suburban commuters.
- 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: VIR Triple: [Virgin Atlantic, ICAOcode, VIR]
Generated description
VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VIR Target entity description: VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
-
A.
VRA
VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
-
B.
V.
V. is Thomas Pynchon's 1963 debut novel, a complex, postmodern work that interweaves multiple narratives and historical periods in a quest surrounding the mysterious figure or concept known only as "V."
-
C.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
-
D.
VT
VT is the standard two-letter postal abbreviation used to represent the U.S. state of Vermont.
-
E.
VRE
VRE is a commuter rail service that operates in Northern Virginia and the Washington, D.C. metropolitan area, providing weekday passenger trains primarily for suburban commuters.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7cb26dc8190bdd3a278b8695873 |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67f01cca881908c1d230048be1225 |
completed | March 3, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_69a6800b410881909d95ab4c3612b501 |
completed | March 3, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a680bbb3bc81909f0c61230238f918 |
completed | March 3, 2026, 6:33 a.m. |
Created at: March 1, 2026, 7:38 p.m.