Triple
T36040631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astazou III |
E1042528
|
entity |
| Predicate | manufacturerNow |
P32611
|
FINISHED |
| Object | Safran Helicopter Engines |
—
|
NE NERFINISHED |
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: Safran Helicopter Engines | Statement: [Astazou III, manufacturerNow, Safran Helicopter Engines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manufacturerNow Context triple: [Astazou III, manufacturerNow, Safran Helicopter Engines]
-
A.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
B.
manufacturerStatus
chosen
Indicates the current operational or business condition of a manufacturer in relation to the product or agreement in question.
-
C.
manufacturerClass
Indicates that an entity belongs to, or is categorized within, a particular class or type of manufacturer.
-
D.
manufacturerInUniverse
Indicates that one entity serves as the manufacturer or producer of another entity within a specified fictional or defined universe.
-
E.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
- F. None of above.
Provenance (3 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:07 p.m.