Triple
T8738433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oto Melara |
E207441
|
entity |
| Predicate | foundedIn |
P41
|
FINISHED |
| Object | Italy |
E863
|
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: Italy | Statement: [Oto Melara, foundedIn, Italy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Italy Context triple: [Oto Melara, foundedIn, Italy]
-
A.
Italy
chosen
Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
-
B.
Italy
Italy is a small rural town in Yates County, New York, known for its agricultural landscape and location in the Finger Lakes region.
-
C.
Italia
Italia is a feminine given name, often inspired by the country of Italy and used in various cultures.
-
D.
Włochy
Włochy is a district in the southwestern part of Warsaw, Poland, known for its mix of residential areas, industrial zones, and major transport infrastructure including the city’s main airport.
-
E.
Italeni
Italeni is the site in present-day South Africa where a notable 1838 battle occurred between Voortrekker forces and Zulu warriors during the era of the Great Trek.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d470c8c81909ead395ef704c6ba |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf517c6fac8190b782c8f441635814 |
completed | April 3, 2026, 5:34 a.m. |
Created at: March 30, 2026, 6:38 p.m.