Triple
T16389958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K2 assault rifle |
E398022
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
K2C
K2C is a compact, carbine-length South Korean assault rifle derived from the K2 platform, designed for improved maneuverability in close-quarters and modern infantry roles.
|
E1209935
|
NE FINISHED |
How this triple was built (4 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: K2C | Statement: [K2 assault rifle, hasVariant, K2C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K2C Context triple: [K2 assault rifle, hasVariant, K2C]
-
A.
K2S
K2S is a Canadian postal code prefix that serves part of the suburban community of Stittsville in Ottawa, Ontario.
-
B.
K3
K3 is another name for Broad Peak, a major mountain in the Karakoram range and one of the world’s fourteen peaks over 8,000 meters.
-
C.
K3
K3 is a three-valued logical system introduced by Stephen Kleene that extends classical logic with an additional truth value to handle partial or undefined information.
-
D.
KC2
KC2 is a variant of the Royal Air Force Voyager aerial refueling and transport aircraft configured with two underwing refueling pods.
-
E.
K2 Objects of Interest
K2 Objects of Interest are candidate exoplanets and other astrophysical signals identified by NASA’s K2 mission, the extended follow-up to the original Kepler space telescope survey.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: K2C Triple: [K2 assault rifle, hasVariant, K2C]
Generated description
K2C is a compact, carbine-length South Korean assault rifle derived from the K2 platform, designed for improved maneuverability in close-quarters and modern infantry roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: K2C Target entity description: K2C is a compact, carbine-length South Korean assault rifle derived from the K2 platform, designed for improved maneuverability in close-quarters and modern infantry roles.
-
A.
K2S
K2S is a Canadian postal code prefix that serves part of the suburban community of Stittsville in Ottawa, Ontario.
-
B.
K3
K3 is another name for Broad Peak, a major mountain in the Karakoram range and one of the world’s fourteen peaks over 8,000 meters.
-
C.
K3
K3 is a three-valued logical system introduced by Stephen Kleene that extends classical logic with an additional truth value to handle partial or undefined information.
-
D.
KC2
KC2 is a variant of the Royal Air Force Voyager aerial refueling and transport aircraft configured with two underwing refueling pods.
-
E.
K2 Objects of Interest
K2 Objects of Interest are candidate exoplanets and other astrophysical signals identified by NASA’s K2 mission, the extended follow-up to the original Kepler space telescope survey.
- F. None of above. chosen
Provenance (5 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326414f44819093ebc11f1b63444c |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00357167b881909a5182537ef973ce |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a003659af2481908ccf0cc65b673b8f |
completed | May 10, 2026, 7:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0037957d7c81908b517ebea0b70a5b |
completed | May 10, 2026, 7:45 a.m. |
Created at: April 10, 2026, 5:08 a.m.