Triple
T31989915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DANA M1 CZ |
E816835
|
entity |
| Predicate | originatesFromModernizationOf |
P109036
|
FINISHED |
| Object | Czechoslovak 152 mm SpGH DANA |
—
|
NE NERFINISHED |
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: Czechoslovak 152 mm SpGH DANA | Statement: [DANA M1 CZ, originatesFromModernizationOf, Czechoslovak 152 mm SpGH DANA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originatesFromModernizationOf Context triple: [DANA M1 CZ, originatesFromModernizationOf, Czechoslovak 152 mm SpGH DANA]
-
A.
isModernizationOf
chosen
Indicates that one entity is an updated, improved, or contemporary version of another earlier entity.
-
B.
associatedWithModernization
Indicates a relationship in which an entity is connected to, involved in, or influenced by processes, policies, or efforts of modernization.
-
C.
modernizationType
Indicates the specific kind or category of modernization applied to an entity or system.
-
D.
modernizedBy
Indicates that an entity has been updated, improved, or brought up to modern standards through the actions or influence of another entity.
-
E.
modernizationPeriod
Indicates the time span during which an entity undergoes or is subject to modernization efforts or processes.
- F. None of above.
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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0144c75aec81908bdd9e88f2af737a |
completed | May 11, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_6a014405a2d48190a1d58b0b907ad696 |
completed | May 11, 2026, 2:50 a.m. |
Created at: May 1, 2026, 12:13 a.m.