Triple
T27805421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madarij al-Sālikīn |
E702363
|
entity |
| Predicate | mainSchoolContext |
P159095
|
FINISHED |
| Object | Hanbali |
—
|
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: Hanbali | Statement: [Madarij al-Sālikīn, mainSchoolContext, Hanbali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSchoolContext Context triple: [Madarij al-Sālikīn, mainSchoolContext, Hanbali]
-
A.
mainSchool
chosen
Indicates that one school is the primary or most important school associated with a given entity.
-
B.
schoolContext
Indicates that the relationship or action occurs within, is influenced by, or is specifically relevant to a school or educational setting.
-
C.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
D.
mainSecondarySchoolFor
Indicates that a secondary school serves as the primary or main secondary education institution for a given area, organization, or group of students.
-
E.
principalSchoolIn
Indicates that an individual serves as the principal (head administrator) of a particular school.
- 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_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 27, 2026, 5:38 p.m.