Triple
T13203095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PR-15 Ragun |
E314288
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
CZ
CZ is a Czech firearms manufacturer renowned for producing a wide range of pistols, rifles, and submachine guns used by military, law enforcement, and civilian shooters worldwide.
|
E1028227
|
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: CZ | Statement: [PR-15 Ragun, manufacturer, CZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CZ Context triple: [PR-15 Ragun, manufacturer, CZ]
-
A.
CZ
CZ is the IATA airline designator assigned to China Southern Airlines, one of China’s largest carriers.
-
B.
CZ-KR
CZ-KR is the regional code for the Hradec Králové Region in the Czech Republic.
-
C.
CZ-ZL
CZ-ZL is the ISO 3166-2 subdivision code assigned to the Zlín Region of the Czech Republic.
-
D.
CZI
CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
-
E.
CZUM
CZUM is the ICAO airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
- 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: CZ Triple: [PR-15 Ragun, manufacturer, CZ]
Generated description
CZ is a Czech firearms manufacturer renowned for producing a wide range of pistols, rifles, and submachine guns used by military, law enforcement, and civilian shooters worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CZ Target entity description: CZ is a Czech firearms manufacturer renowned for producing a wide range of pistols, rifles, and submachine guns used by military, law enforcement, and civilian shooters worldwide.
-
A.
CZ
CZ is the IATA airline designator assigned to China Southern Airlines, one of China’s largest carriers.
-
B.
CZ-KR
CZ-KR is the regional code for the Hradec Králové Region in the Czech Republic.
-
C.
CZ-ZL
CZ-ZL is the ISO 3166-2 subdivision code assigned to the Zlín Region of the Czech Republic.
-
D.
CZI
CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
-
E.
CZUM
CZUM is the ICAO airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9961a48190a1157df47f59b7af |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff1a3d68819089ad35f8f9ff5c5a |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f6ffeec1e8819090e1917fc6449ede |
completed | May 3, 2026, 7:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7017d8d308190bb54958764026325 |
completed | May 3, 2026, 8:04 a.m. |
Created at: April 9, 2026, 9:17 p.m.