Triple
T3878854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAF Tristar |
E92571
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
TriStar K1
The TriStar K1 is a Royal Air Force variant of the Lockheed L-1011 TriStar airliner adapted primarily for air-to-air refueling and transport duties.
|
E395639
|
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: TriStar K1 | Statement: [RAF Tristar, hasVariant, TriStar K1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TriStar K1 Context triple: [RAF Tristar, hasVariant, TriStar K1]
-
A.
Turbostar
Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
-
B.
Kandi
Kandi is an American singer, songwriter, television personality, and businesswoman best known as a member of the R&B group Xscape and a star of The Real Housewives of Atlanta.
-
C.
Voyager KC2
Voyager KC2 is an Airbus A330-based multi-role tanker transport aircraft used by the Royal Air Force for air-to-air refuelling and strategic airlift operations.
-
D.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
-
E.
Troinex
Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
- 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: TriStar K1 Triple: [RAF Tristar, hasVariant, TriStar K1]
Generated description
The TriStar K1 is a Royal Air Force variant of the Lockheed L-1011 TriStar airliner adapted primarily for air-to-air refueling and transport duties.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TriStar K1 Target entity description: The TriStar K1 is a Royal Air Force variant of the Lockheed L-1011 TriStar airliner adapted primarily for air-to-air refueling and transport duties.
-
A.
Turbostar
Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
-
B.
Kandi
Kandi is an American singer, songwriter, television personality, and businesswoman best known as a member of the R&B group Xscape and a star of The Real Housewives of Atlanta.
-
C.
Voyager KC2
Voyager KC2 is an Airbus A330-based multi-role tanker transport aircraft used by the Royal Air Force for air-to-air refuelling and strategic airlift operations.
-
D.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
-
E.
Troinex
Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec7438808190b6c90fcb3000ebe9 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51253da2081908689f06975fb4db1 |
completed | March 14, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69b5132715888190bc5ba6182965e813 |
completed | March 14, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b513b11dcc8190a2c2e3f27b4cf25e |
completed | March 14, 2026, 7:52 a.m. |
Created at: March 9, 2026, 3:20 p.m.