Triple
T18005225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministerstwo Obrony Narodowej |
E430728
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | MON |
—
|
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: MON | Statement: [Ministerstwo Obrony Narodowej, shortName, MON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MON Context triple: [Ministerstwo Obrony Narodowej, shortName, MON]
-
A.
MON
MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
-
B.
MON
chosen
MON is the commonly used abbreviation for Poland’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
-
C.
MON
MON is the three-letter International Olympic Committee country code representing Monaco in Olympic competitions.
-
D.
MON
MON is the post-nominal abbreviation used to denote recipients of Nigeria’s national honor, the Order of the Niger.
-
E.
Mon
Mon is a town in the northeastern Indian state of Nagaland, known as the headquarters of Mon district and as a cultural center of the Konyak Naga tribe.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51ba1888190a339d726e92f376b |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.