Triple
T13457260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turbomeca Astazou |
E311266
|
entity |
| Predicate | notableVariant |
P4680
|
FINISHED |
| Object |
Astazou XX
The Astazou XX is an advanced, higher-powered variant of Turbomeca’s Astazou turboshaft engine series, used primarily in helicopters and light aircraft.
|
E1041248
|
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: Astazou XX | Statement: [Turbomeca Astazou, notableVariant, Astazou XX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Astazou XX Context triple: [Turbomeca Astazou, notableVariant, Astazou XX]
-
A.
Zardoz
Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
-
B.
Zzeraku the Warped
Zzeraku the Warped is a powerful legendary dragon card in Hearthstone known for its ability to summon additional dragons when its hero takes damage.
-
C.
Ateso
Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
-
D.
El Atteuf
El Atteuf is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
-
E.
Auzaar
Auzaar is a 1997 Bollywood action thriller film directed by Sohail Khan, starring Salman Khan and Sanjay Kapoor.
- 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: Astazou XX Triple: [Turbomeca Astazou, notableVariant, Astazou XX]
Generated description
The Astazou XX is an advanced, higher-powered variant of Turbomeca’s Astazou turboshaft engine series, used primarily in helicopters and light aircraft.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Astazou XX Target entity description: The Astazou XX is an advanced, higher-powered variant of Turbomeca’s Astazou turboshaft engine series, used primarily in helicopters and light aircraft.
-
A.
Zardoz
Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
-
B.
Zzeraku the Warped
Zzeraku the Warped is a powerful legendary dragon card in Hearthstone known for its ability to summon additional dragons when its hero takes damage.
-
C.
Ateso
Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
-
D.
El Atteuf
El Atteuf is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
-
E.
Auzaar
Auzaar is a 1997 Bollywood action thriller film directed by Sohail Khan, starring Salman Khan and Sanjay Kapoor.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0a75008190a508060c85f73604 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a001d08190ae5664c6670540e7 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b3074bc819081e30b082857c33e |
completed | May 3, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73ee5839881908ce75c57f1942b57 |
completed | May 3, 2026, 12:26 p.m. |
Created at: April 9, 2026, 9:41 p.m.