Triple
T4226934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panavia Tornado |
E94480
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object |
Tornado ECR
The Tornado ECR is a specialized electronic combat and reconnaissance variant of the Panavia Tornado designed primarily for suppression of enemy air defenses.
|
E422626
|
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: Tornado ECR | Statement: [Panavia Tornado, variant, Tornado ECR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tornado ECR Context triple: [Panavia Tornado, variant, Tornado ECR]
-
A.
Toesca
Toesca is an Italian-origin surname best known through Joaquín Toesca, an 18th-century architect influential in colonial Chilean architecture.
-
B.
ECS
ECS is the former ISO 4217 currency code for the Ecuadorian sucre, the national currency of Ecuador before its adoption of the U.S. dollar.
-
C.
Tornado
Tornado is Zorro’s iconic black horse, known as his swift and loyal steed in the Zorro stories.
-
D.
Tornado
Tornado is a high-thrill water slide attraction featuring steep drops and a large funnel element, located at the Wet'n'Wild Gold Coast water park in Australia.
-
E.
ECOTY
ECOTY is the commonly used acronym for the European Car of the Year, a prestigious annual automotive award judged by motoring journalists from across Europe.
- 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: Tornado ECR Triple: [Panavia Tornado, variant, Tornado ECR]
Generated description
The Tornado ECR is a specialized electronic combat and reconnaissance variant of the Panavia Tornado designed primarily for suppression of enemy air defenses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tornado ECR Target entity description: The Tornado ECR is a specialized electronic combat and reconnaissance variant of the Panavia Tornado designed primarily for suppression of enemy air defenses.
-
A.
Toesca
Toesca is an Italian-origin surname best known through Joaquín Toesca, an 18th-century architect influential in colonial Chilean architecture.
-
B.
ECS
ECS is the former ISO 4217 currency code for the Ecuadorian sucre, the national currency of Ecuador before its adoption of the U.S. dollar.
-
C.
Tornado
Tornado is Zorro’s iconic black horse, known as his swift and loyal steed in the Zorro stories.
-
D.
Tornado
Tornado is a high-thrill water slide attraction featuring steep drops and a large funnel element, located at the Wet'n'Wild Gold Coast water park in Australia.
-
E.
ECOTY
ECOTY is the commonly used acronym for the European Car of the Year, a prestigious annual automotive award judged by motoring journalists from across Europe.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e5003008190834726e46df3ee9b |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5964a388881908038e5a612424b9b |
completed | March 14, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69b596cb73ac81909f83daca406ad8c4 |
completed | March 14, 2026, 5:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b59a9c386081909c21ad554d403bfc |
completed | March 14, 2026, 5:27 p.m. |
Created at: March 12, 2026, 11:04 p.m.