Triple
T3371274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese military ranks |
E70958
|
entity |
| Predicate | hasAirForceOfficerRank |
P44633
|
FINISHED |
| Object | Alferes |
E354064
|
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: Alferes | Statement: [Portuguese military ranks, hasAirForceOfficerRank, Alferes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alferes Context triple: [Portuguese military ranks, hasAirForceOfficerRank, Alferes]
-
A.
Alferes
chosen
Alferes is a junior commissioned officer rank in the Portuguese military, roughly equivalent to a second lieutenant in many other armed forces.
-
B.
Coronel
Coronel is a coastal city in south-central Chile known for its historic coal-mining industry and fishing activities along the Pacific Ocean.
-
C.
Fulco
Fulco is an Italian given name most notably borne by Fulco Ruffo di Calabria, a distinguished World War I flying ace and nobleman.
-
D.
Fadal
Fadal is the surname of American actress and model Shannon Elizabeth, known for her roles in films like "American Pie" and "Scary Movie."
-
E.
Marechal
Marechal is the highest Portuguese Army rank, equivalent to a field marshal, typically reserved for wartime or exceptional command.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2bb32f88190bacf50e11b50fe99 |
completed | March 8, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bbfaf3081908babba216c7da776 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 8, 2026, 3:13 p.m.