Triple
T17458892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IAR 99 Șoim |
E425102
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Avioane Craiova |
—
|
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: Avioane Craiova | Statement: [IAR 99 Șoim, designer, Avioane Craiova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avioane Craiova Context triple: [IAR 99 Șoim, designer, Avioane Craiova]
-
A.
Avioane Craiova
chosen
Avioane Craiova is a Romanian aerospace company known for designing and producing military trainer and light attack aircraft.
-
B.
Aviatiei
Aviatiei is a residential and business neighborhood in northern Bucharest, Romania, known for its modern apartment blocks and proximity to office hubs and the city’s main airport routes.
-
C.
Avion
Avion is a commune in the Pas-de-Calais department in northern France.
-
D.
Aerograd
Aerograd is a 1935 Soviet science fiction and propaganda film directed by Alexander Dovzhenko, set in a futuristic Far Eastern border town threatened by foreign and internal enemies.
-
E.
Kfir C.10
The Kfir C.10 is an upgraded multirole variant of Israel’s Kfir fighter jet, featuring modern avionics and weapons systems for advanced combat operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451444e008190944d9668d4d901fa |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.