Triple
T8941872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sforzesca Infantry Division |
E212920
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | ARMIR |
E40666
|
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: ARMIR | Statement: [Sforzesca Infantry Division, partOf, ARMIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARMIR Context triple: [Sforzesca Infantry Division, partOf, ARMIR]
-
A.
ARMIR
chosen
ARMIR was the Italian 8th Army deployed on the Eastern Front during World War II, best known for its disastrous defeat alongside German forces in the Soviet Union.
-
B.
Armour
Armour is a Scottish surname most famously associated with Jean Armour, the wife of poet Robert Burns.
-
C.
Armills
Armills are ceremonial arm bracelets traditionally worn by British monarchs during coronations as symbols of sincerity and wisdom.
-
D.
Armas
Armas is a Finnish given name, notably used as one of the names of the renowned Finnish poet Eino Leino.
-
E.
Aspis
Aspis is an ancient Greek comedy by the playwright Menander, known for its exploration of family, inheritance, and social customs in Athenian society.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b9c14c8190b80c3df0cdba2747 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1f418708190b1272209f61e3a51 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:58 p.m.