Triple
T31961202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Mash'ar al-Haram |
E816043
|
entity |
| Predicate | riteClassification |
P173061
|
FINISHED |
| Object | wajib (obligatory) act according to many scholars |
—
|
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: wajib (obligatory) act according to many scholars | Statement: [Al-Mash'ar al-Haram, riteClassification, wajib (obligatory) act according to many scholars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riteClassification Context triple: [Al-Mash'ar al-Haram, riteClassification, wajib (obligatory) act according to many scholars]
-
A.
rite
Indicates a ceremonial or ritual action performed according to established traditions or religious practices.
-
B.
fieldOfWriting
Indicates that one entity is the domain, genre, or subject area in which another entity writes or produces written work.
-
C.
classificationLetter
Indicates that an entity is assigned a specific letter-based category or grade as its classification.
-
D.
willWrittenIn
Indicates that a legal will was authored, drafted, or formally written in a specified location or jurisdiction.
-
E.
writingForm
Indicates the specific script, notation, or written representation used to express a piece of language or content.
- F. None of above. chosen
Provenance (4 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2e75b088190a60bdfba81feef44 |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: May 1, 2026, 12:09 a.m.