Triple
T13765423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AS365 Dauphin |
E330728
|
entity |
| Predicate | hasMilitaryVariant |
P7144
|
FINISHED |
| Object |
SA 365F
The SA 365F is a French twin-engine military helicopter variant of the Aérospatiale AS365 Dauphin, used primarily for naval and maritime operations.
|
E1058575
|
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: SA 365F | Statement: [AS365 Dauphin, hasMilitaryVariant, SA 365F]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SA 365F Context triple: [AS365 Dauphin, hasMilitaryVariant, SA 365F]
-
A.
SA-5
SA-5 is a track from Beck’s acclaimed 1996 album "Odelay," known for its eclectic, sample-heavy alternative rock sound.
-
B.
SA-6
SA-6 is a Soviet-era mobile surface-to-air missile system, known by the NATO reporting name "Gainful," designed to engage low- to medium-altitude aircraft.
-
C.
SA3
SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
-
D.
SA-501
SA-501 was the first Saturn V launch vehicle, used for the uncrewed Apollo 4 test flight that validated the rocket and spacecraft for future lunar missions.
-
E.
SA5
SA5 is the 3GPP Service and System Aspects working group responsible for management, orchestration, and operations of mobile communication networks.
- 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: SA 365F Triple: [AS365 Dauphin, hasMilitaryVariant, SA 365F]
Generated description
The SA 365F is a French twin-engine military helicopter variant of the Aérospatiale AS365 Dauphin, used primarily for naval and maritime operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SA 365F Target entity description: The SA 365F is a French twin-engine military helicopter variant of the Aérospatiale AS365 Dauphin, used primarily for naval and maritime operations.
-
A.
SA-5
SA-5 is a track from Beck’s acclaimed 1996 album "Odelay," known for its eclectic, sample-heavy alternative rock sound.
-
B.
SA-6
SA-6 is a Soviet-era mobile surface-to-air missile system, known by the NATO reporting name "Gainful," designed to engage low- to medium-altitude aircraft.
-
C.
SA3
SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
-
D.
SA-501
SA-501 was the first Saturn V launch vehicle, used for the uncrewed Apollo 4 test flight that validated the rocket and spacecraft for future lunar missions.
-
E.
SA5
SA5 is the 3GPP Service and System Aspects working group responsible for management, orchestration, and operations of mobile communication networks.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022690ac8190bd5410ecc659a2a7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a864c0ac81909e5fcd134ea66414 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a94390988190bcaedcda0b691fbb |
completed | May 3, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a9fe250c8190b66062e7fcea8d86 |
completed | May 3, 2026, 8:03 p.m. |
Created at: April 9, 2026, 10:10 p.m.