Triple
T18998929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volotea |
E464893
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
V7
V7 is the IATA airline designator assigned to Volotea, a Spanish low-cost carrier operating flights across Europe.
|
E1353324
|
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: V7 | Statement: [Volotea, IATAcode, V7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: V7 Context triple: [Volotea, IATAcode, V7]
-
A.
V2
V2 is a class of British 2-6-2 steam locomotives designed by Sir Nigel Gresley for mixed-traffic duties on the London and North Eastern Railway.
-
B.
V4
V4 is a regional alliance of four Central European countries—Czech Republic, Hungary, Poland, and Slovakia—cooperating on political, economic, and security issues within the European context.
-
C.
V.21
V.21 is an early ITU-T modem standard that defines low-speed full-duplex data transmission over telephone lines, commonly used for 300 bit/s communication.
-
D.
VT78
VT78 is a later DEC minicomputer model that followed and built upon the design and capabilities of the PDP-8.
-
E.
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."
- 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: V7 Triple: [Volotea, IATAcode, V7]
Generated description
V7 is the IATA airline designator assigned to Volotea, a Spanish low-cost carrier operating flights across Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: V7 Target entity description: V7 is the IATA airline designator assigned to Volotea, a Spanish low-cost carrier operating flights across Europe.
-
A.
V2
V2 is a class of British 2-6-2 steam locomotives designed by Sir Nigel Gresley for mixed-traffic duties on the London and North Eastern Railway.
-
B.
V4
V4 is a regional alliance of four Central European countries—Czech Republic, Hungary, Poland, and Slovakia—cooperating on political, economic, and security issues within the European context.
-
C.
V.21
V.21 is an early ITU-T modem standard that defines low-speed full-duplex data transmission over telephone lines, commonly used for 300 bit/s communication.
-
D.
VT78
VT78 is a later DEC minicomputer model that followed and built upon the design and capabilities of the PDP-8.
-
E.
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."
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6838f4481909b265e29964b0dca |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b45b9ca0819090a85f5708e9c632 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b68205948190a6846e2cd8ba66ae |
completed | May 14, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b73aa91c8190abe816e72d2f56f7 |
completed | May 14, 2026, 11:51 a.m. |
Created at: April 10, 2026, 12:01 p.m.