Triple
T9955353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozarabs |
E195432
|
entity |
| Predicate | legalStatusUnderIslamicLaw |
P36291
|
FINISHED |
| Object | dhimmi |
—
|
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: dhimmi | Statement: [Mozarabs, legalStatusUnderIslamicLaw, dhimmi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusUnderIslamicLaw Context triple: [Mozarabs, legalStatusUnderIslamicLaw, dhimmi]
-
A.
statusInIslamicTradition
Indicates the recognized standing, role, or level of esteem an entity holds within Islamic religious, cultural, or scholarly tradition.
-
B.
roleInIslamicLaw
chosen
Indicates the specific function, status, or authority an entity holds within the framework of Islamic legal principles and institutions.
-
C.
normativeStatusInIslam
Indicates the evaluative ruling or status that Islamic law or ethics assigns to an action, practice, or state (e.g., obligatory, recommended, permissible, disliked, or forbidden).
-
D.
religiousJurisdiction
Indicates that one entity holds official religious authority or governance over another entity or area.
-
E.
hasRulingInFiqh
Indicates that a subject has an associated legal ruling or judgment within the framework of Islamic jurisprudence (fiqh).
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb69631d08190ab2b1d1c22d46da7 |
completed | April 2, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:46 p.m.