Triple
T24623227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibrahim al-Nakhaʿi |
E609468
|
entity |
| Predicate | sourceOfLegalOpinionsFor |
P65906
|
FINISHED |
| Object | early Hanafi jurists |
—
|
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: early Hanafi jurists | Statement: [Ibrahim al-Nakhaʿi, sourceOfLegalOpinionsFor, early Hanafi jurists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceOfLegalOpinionsFor Context triple: [Ibrahim al-Nakhaʿi, sourceOfLegalOpinionsFor, early Hanafi jurists]
-
A.
legalOpinionsUsedIn
Indicates that certain legal opinions are referenced or relied upon within a particular legal case, document, or context.
-
B.
legalOpinionsIssuedOn
Indicates that one or more legal opinions were formally issued or rendered on a particular date, case, matter, or subject.
-
C.
givesLegalOpinionTo
Indicates that one party provides a formal legal judgment, advice, or interpretation to another party.
-
D.
authorOfLegalOpinion
Indicates that a person is the writer or creator of a specific legal opinion document.
-
E.
majorLegalSource
chosen
Indicates that one entity serves as a primary or authoritative legal basis or reference for another entity.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.