Triple
T209949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primitive Irish |
E4691
|
entity |
| Predicate | graphemicSystem |
P454
|
FINISHED |
| Object | Ogham letter names based on trees and other terms |
—
|
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: Ogham letter names based on trees and other terms | Statement: [Primitive Irish, graphemicSystem, Ogham letter names based on trees and other terms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphemicSystem Context triple: [Primitive Irish, graphemicSystem, Ogham letter names based on trees and other terms]
-
A.
writingSystem
chosen
Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
-
B.
notationSystem
Indicates a relationship where one entity is the system or method of notation used to represent or encode another entity.
-
C.
codingSystemContext
Indicates the coding system or classification framework within which a given code, identifier, or value is defined and interpreted.
-
D.
replacedWritingSystem
Indicates that one writing system has been superseded or taken the place of another as the primary script used for a language or context.
-
E.
isMostWidelyUsedWritingSystem
Indicates that the subject writing system is used by more people or in more contexts than any other writing 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b4f71b88190866c8262922ae204 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.