Triple
T7085861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurocopter AS532 Cougar |
E165073
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object | AS532 AC |
E397105
|
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: AS532 AC | Statement: [Eurocopter AS532 Cougar, variant, AS532 AC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AS532 AC Context triple: [Eurocopter AS532 Cougar, variant, AS532 AC]
-
A.
AS-203
AS-203 was an uncrewed Saturn IB test flight in NASA’s Apollo program, primarily used to study the behavior of liquid hydrogen fuel in orbit.
-
B.
AC-5
AC-5 was a class of Southern Pacific Railroad cab-forward articulated steam locomotives built in the late 1920s for heavy freight service over mountainous routes.
-
C.
AS532 Cougar
chosen
The AS532 Cougar is a twin-engine, medium-lift military helicopter widely used for transport, search and rescue, and utility missions.
-
D.
AC50
The AC50 is a high-performance, foiling catamaran class designed for the America's Cup, known for its cutting-edge technology and extreme speed.
-
E.
A-Spec
A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e512bda88190920ecb54b177e569 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c924ac88190a237d2e0ac505d51 |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:41 p.m.