Triple
T209937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primitive Irish |
E4691
|
entity |
| Predicate | evidenceType |
P3168
|
FINISHED |
| Object | epigraphic evidence |
—
|
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: epigraphic evidence | Statement: [Primitive Irish, evidenceType, epigraphic evidence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evidenceType Context triple: [Primitive Irish, evidenceType, epigraphic evidence]
-
A.
usedEvidenceType
chosen
Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
-
B.
providesEvidenceFor
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
C.
standardOfProof
Indicates the level or degree of certainty required to establish that a claim or allegation is true in a given context.
-
D.
legalCitationType
Indicates the specific kind or category of legal citation that characterizes the relationship between the citing and cited legal sources.
-
E.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
- 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.