Triple
T3762536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M240 |
E82594
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | FN MAG |
E271695
|
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: FN MAG | Statement: [M240, basedOn, FN MAG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FN MAG Context triple: [M240, basedOn, FN MAG]
-
A.
FN MAG
chosen
The FN MAG is a Belgian-designed 7.62×51mm NATO general-purpose machine gun widely used by military forces around the world for its reliability and versatility in both infantry and vehicle-mounted roles.
-
B.
MAG
MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
-
C.
MAG
MAG is a major British airport operator that owns and manages several UK airports, including Manchester Airport.
-
D.
CMAG
CMAG is the abbreviated name for the Commonwealth Ministerial Action Group, a body of foreign ministers that addresses serious or persistent violations of Commonwealth political values by member states.
-
E.
FMG
FMG is the Faculty of Social and Behavioural Sciences at the University of Amsterdam, encompassing disciplines such as psychology, sociology, political science, and communication science.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfa44ac819082f2c895d96c9170 |
completed | March 8, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e51acd0c81909a675e525ece6d1b |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.