Triple
T9710881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DANA self-propelled howitzer |
E235017
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
DANA M1 CZ
DANA M1 CZ is a modernized Czech variant of the DANA self-propelled howitzer featuring upgraded fire control, mobility, and protection systems.
|
E816835
|
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: DANA M1 CZ | Statement: [DANA self-propelled howitzer, hasVariant, DANA M1 CZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DANA M1 CZ Context triple: [DANA self-propelled howitzer, hasVariant, DANA M1 CZ]
-
A.
DANA
DANA is a popular Indonesian digital wallet and mobile payment platform used for cashless transactions, bill payments, and online purchases.
-
B.
MAZ
MAZ is the IATA airport code for Eugenio María de Hostos Airport, a regional airport serving Mayagüez in western Puerto Rico.
-
C.
Dyna
Dyna is a line of Harley-Davidson motorcycles known for combining big-twin engines with a more agile, sport-oriented chassis.
-
D.
M-68
M-68 is a state trunkline highway in northern Michigan that serves as an east–west route across parts of the northern Lower Peninsula.
-
E.
Musina
Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
- 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: DANA M1 CZ Triple: [DANA self-propelled howitzer, hasVariant, DANA M1 CZ]
Generated description
DANA M1 CZ is a modernized Czech variant of the DANA self-propelled howitzer featuring upgraded fire control, mobility, and protection systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DANA M1 CZ Target entity description: DANA M1 CZ is a modernized Czech variant of the DANA self-propelled howitzer featuring upgraded fire control, mobility, and protection systems.
-
A.
DANA
DANA is a popular Indonesian digital wallet and mobile payment platform used for cashless transactions, bill payments, and online purchases.
-
B.
MAZ
MAZ is the IATA airport code for Eugenio María de Hostos Airport, a regional airport serving Mayagüez in western Puerto Rico.
-
C.
Dyna
Dyna is a line of Harley-Davidson motorcycles known for combining big-twin engines with a more agile, sport-oriented chassis.
-
D.
M-68
M-68 is a state trunkline highway in northern Michigan that serves as an east–west route across parts of the northern Lower Peninsula.
-
E.
Musina
Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0591208190aa57cc9e2aebafb7 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f8876748190b0b5efb12031f532 |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a03e88748190b888d6ee2ad2f0f9 |
completed | April 4, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a0c05aa88190a93b0b71bef5c417 |
completed | April 4, 2026, 11:37 p.m. |
Created at: March 30, 2026, 8:19 p.m.