Triple
T5978942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AK-47 |
E133070
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | AKM |
E281858
|
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: AKM | Statement: [AK-47, successor, AKM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AKM Context triple: [AK-47, successor, AKM]
-
A.
AKM
chosen
The AKM is a modernized, widely produced variant of the AK-47 assault rifle, known for its reliability, simplicity, and extensive use in militaries and conflicts around the world.
-
B.
AMKC
AMKC is a large jail facility on Rikers Island in New York City, named after former Correction Commissioner Anna M. Kross.
-
C.
KMA
KMA is the commonly used abbreviation for the Royal Swedish Academy of Music, Sweden’s national institution dedicated to the advancement of musical art and scholarship.
-
D.
AMTK
AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
-
E.
KMK
KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a3e686c81908910c0881ac1624d |
completed | March 22, 2026, 7:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e41d23848190bc7835eb6313b6a5 |
completed | March 23, 2026, 6:56 a.m. |
Created at: March 22, 2026, 4:04 p.m.