Triple
T14033009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H-36 Caracal |
E337638
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Helibras |
E81223
|
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: Helibras | Statement: [H-36 Caracal, manufacturer, Helibras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helibras Context triple: [H-36 Caracal, manufacturer, Helibras]
-
A.
Leonardo Helicopters
chosen
Leonardo Helicopters is the helicopter division of the Italian aerospace and defense company Leonardo S.p.A., known for designing and manufacturing civil and military rotary-wing aircraft.
-
B.
Robinson Helicopter Company
Robinson Helicopter Company is an American manufacturer known for producing popular light civilian helicopters such as the R22 and R44.
-
C.
Agusta
Agusta is an Italian aerospace company known for manufacturing helicopters and aircraft, often under license from other major aviation firms.
-
D.
Eurocopter EC635
The Eurocopter EC635 is a light twin-engine multi-role helicopter widely used for military transport, training, and medical evacuation missions.
-
E.
Omniflight Helicopters
Omniflight Helicopters was a U.S.-based aviation company that provided helicopter charter and air medical transport services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fab17008190981f1808726fa11c |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc337a5cc8190953b84255a401ada |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.