Triple
T31989765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITM AT-88 |
E816831
|
entity |
| Predicate | influencedByDesignSchool |
P181159
|
FINISHED |
| Object | Czech handgun design |
—
|
LITERAL 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: Czech handgun design | Statement: [ITM AT-88, influencedByDesignSchool, Czech handgun design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedByDesignSchool Context triple: [ITM AT-88, influencedByDesignSchool, Czech handgun design]
-
A.
influencedSchool
chosen
Indicates that one entity has had a significant impact on the development, direction, or characteristics of a particular school (such as a school of thought, artistic movement, or academic tradition).
-
B.
hasArtAndDesignSchool
Indicates that an entity possesses, hosts, or includes an art and design school as part of its structure or offerings.
-
C.
artSchoolFounded
Indicates that an art school was established or created at a certain time, place, or by a particular founder.
-
D.
hasArtisticSchool
Indicates that an entity is associated with, belongs to, or is characterized by a particular artistic school or style.
-
E.
designedBySchool
Indicates that something was created, planned, or developed by a particular school or educational institution.
- 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_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 1, 2026, 12:13 a.m.