Triple
T3218825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dassault Aviation |
E67459
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Safran |
E131994
|
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: Safran | Statement: [Dassault Aviation, collaboratesWith, Safran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safran Context triple: [Dassault Aviation, collaboratesWith, Safran]
-
A.
Safran
chosen
Safran is a major French multinational company specializing in aerospace, defense, and security technologies.
-
B.
The Safran Company
The Safran Company is a film and television production company best known for producing major horror franchises such as The Conjuring series.
-
C.
Agusta
Agusta is an Italian aerospace company known for manufacturing helicopters and aircraft, often under license from other major aviation firms.
-
D.
Syrian Air
Syrian Air is the state-owned national airline of Syria, operating regional and international passenger flights primarily from its hub in Damascus.
-
E.
MTU Aero Engines
MTU Aero Engines is a leading German aircraft engine manufacturer specializing in the development, production, and maintenance of military and commercial aero engines.
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab0c48b481909d1bd9dc41dfa8c2 |
completed | March 8, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26245dfb08190a051ec6d2dbc63c6 |
completed | March 12, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:08 p.m.