Triple
T31546041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taba commune |
E804874
|
entity |
| Predicate | evidenceTypeInCase |
P3168
|
FINISHED |
| Object | witness testimony |
—
|
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: witness testimony | Statement: [Taba commune, evidenceTypeInCase, witness testimony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evidenceTypeInCase Context triple: [Taba commune, evidenceTypeInCase, witness testimony]
-
A.
usedEvidenceType
chosen
Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
-
B.
titleEvidenceType
Indicates the type or category of evidence that supports or justifies a given title.
-
C.
providesEvidenceFor
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
D.
caseTypes
Indicates the types or categories of cases associated with or applicable to an entity or situation.
-
E.
fieldOfCase
Indicates the specific professional, academic, or legal domain to which a given case belongs or is categorized.
- 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8055f8081908f635fe04654b5fe |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:08 p.m.