Triple
T6343895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ta'amei ha-mikra |
E142696
|
entity |
| Predicate | subsystem |
P840
|
FINISHED |
| Object | disjunctive accents |
—
|
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: disjunctive accents | Statement: [Ta'amei ha-mikra, subsystem, disjunctive accents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsystem Context triple: [Ta'amei ha-mikra, subsystem, disjunctive accents]
-
A.
partOfSystem
chosen
Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
-
B.
system
Indicates that an entity functions as or belongs to a structured, organized set of components or processes that operate together as a system.
-
C.
subunitOf
Indicates that one entity functions as a component or smaller part within the structure or organization of another, larger entity.
-
D.
replacedSubsystem
Indicates that one subsystem has been substituted or exchanged for another, taking over its role or function.
-
E.
packageSystem
Indicates a relationship where an item or component is organized, bundled, or managed within a particular packaging or distribution system.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0674702d08190806ef0998960b797 |
completed | March 22, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69c060ea1a988190889e47b7e0c819b8 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:31 p.m.