Triple
T8489386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oto Melara 105 mm L/52 gun |
E200927
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object | Oto Melara engineers |
E207441
|
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: Oto Melara engineers | Statement: [Oto Melara 105 mm L/52 gun, designedBy, Oto Melara engineers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oto Melara engineers Context triple: [Oto Melara 105 mm L/52 gun, designedBy, Oto Melara engineers]
-
A.
Oto Melara
chosen
Oto Melara is an Italian defense company known for designing and producing artillery systems, naval guns, and armored fighting vehicles.
-
B.
Ingeniero White
Ingeniero White is a port town in Argentina’s Buenos Aires Province, known for its industrial harbor facilities and proximity to the city of Bahía Blanca.
-
C.
Ingeniero Jacobacci
Ingeniero Jacobacci is a small town in Argentina’s Patagonia region known as a railway hub and gateway to the surrounding steppe landscapes.
-
D.
Gerald Morkel
Gerald Morkel was a South African politician who became the first Premier of the Western Cape province after the end of apartheid.
-
E.
Michael Neeleman
Michael Neeleman is a notable individual recognized as a bearer of the Neeleman surname, likely distinguished in a professional or public context.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5581d308190b47d76dd49a36529 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a4e5be48190b5c598123ef75f8b |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:13 p.m.