Triple
T7375340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tawaf al-Ifadah |
E170108
|
entity |
| Predicate | jurisprudenceField |
P28364
|
FINISHED |
| Object | fiqh al-Hajj |
—
|
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: fiqh al-Hajj | Statement: [Tawaf al-Ifadah, jurisprudenceField, fiqh al-Hajj]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jurisprudenceField Context triple: [Tawaf al-Ifadah, jurisprudenceField, fiqh al-Hajj]
-
A.
jurisprudenceDiscussedIn
Indicates that a topic, issue, or principle of jurisprudence is examined, analyzed, or debated within a particular document, discussion, or source.
-
B.
hasJurisprudenceField
chosen
Indicates that an entity’s work, expertise, or classification pertains to a specific field or branch of jurisprudence (legal theory or law).
-
C.
branchOfLaw
Indicates a relationship where one legal field or discipline is a subdivision or specialized area within a broader body of law.
-
D.
legalDoctrine
Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
-
E.
lawJournal
Indicates a relationship where a work is published in, associated with, or appears within a specific law journal.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a780f88190abf11994e307b6ad |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:07 p.m.