Triple
T11609623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bohemian estates |
E275347
|
entity |
| Predicate | typeOfAssembly |
P17334
|
FINISHED |
| Object | diet |
—
|
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: diet | Statement: [Bohemian estates, typeOfAssembly, diet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAssembly Context triple: [Bohemian estates, typeOfAssembly, diet]
-
A.
hasAssemblyType
chosen
Indicates that an entity is associated with or classified by a specific type or method of assembly.
-
B.
hasAssembly
Indicates that an entity is composed of, or includes, one or more component parts assembled into a whole.
-
C.
primaryAssembly
Indicates that one entity serves as the main or principal assembly to which another entity is structurally or organizationally related.
-
D.
typeOfAssemblyServed
Indicates the specific type or category of assembly that is being served or catered to by an entity or action.
-
E.
locationOfAssembly
Indicates the place where a group, object, or structure is put together, constructed, or assembled.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04231d08190b8a07cd977d11ffa |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.