Triple
T25052767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wellesbourne Mountford Airfield |
E627428
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Avro Vulcan bomber XM655
Avro Vulcan bomber XM655 is a preserved Cold War-era Royal Air Force strategic jet bomber, now a popular static display and taxi-run attraction at Wellesbourne Mountford Airfield in Warwickshire, England.
|
E1661160
|
NE FINISHED |
How this triple was built (2 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: Avro Vulcan bomber XM655 | Statement: [Wellesbourne Mountford Airfield, hasAttraction, Avro Vulcan bomber XM655]
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: Avro Vulcan bomber XM655 Triple: [Wellesbourne Mountford Airfield, hasAttraction, Avro Vulcan bomber XM655]
Generated description
Avro Vulcan bomber XM655 is a preserved Cold War-era Royal Air Force strategic jet bomber, now a popular static display and taxi-run attraction at Wellesbourne Mountford Airfield in Warwickshire, England.
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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f454a379488190a87935a19cfac26e |
completed | May 1, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1048cc63a481908619467e16e29b1d |
completed | May 22, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a10498ee91081909f400a590f3646a7 |
completed | May 22, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a104a7bba188190b4d819ed6c618086 |
completed | May 22, 2026, 12:22 p.m. |
Created at: April 18, 2026, 6:09 a.m.