Triple
T27805432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madarij al-Sālikīn |
E702363
|
entity |
| Predicate | originalAuthorOfBaseText |
P36855
|
FINISHED |
| Object | Abd Allāh al-Anṣārī al-Harawī |
—
|
NE NERFINISHED |
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: Abd Allāh al-Anṣārī al-Harawī | Statement: [Madarij al-Sālikīn, originalAuthorOfBaseText, Abd Allāh al-Anṣārī al-Harawī]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalAuthorOfBaseText Context triple: [Madarij al-Sālikīn, originalAuthorOfBaseText, Abd Allāh al-Anṣārī al-Harawī]
-
A.
originAuthor
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
-
B.
originalAuthorOfSource
chosen
Indicates that an entity is the original creator or author of a given source or work.
-
C.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
-
D.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
-
E.
originalLanguageAuthor
Indicates that an author created a work in a particular original language.
- 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_69ef8408e0588190977cffa32dc33a29 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: April 27, 2026, 5:38 p.m.