Triple
T25288311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | adh-Dhakhira |
E634008
|
entity |
| Predicate | mainSchool |
P159095
|
FINISHED |
| Object | Maliki |
—
|
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: Maliki | Statement: [adh-Dhakhira, mainSchool, Maliki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSchool Context triple: [adh-Dhakhira, mainSchool, Maliki]
-
A.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
B.
mainSecondarySchoolFor
Indicates that a secondary school serves as the primary or main secondary education institution for a given area, organization, or group of students.
-
C.
daySchool
Indicates that an entity attends or is enrolled in a school that operates primarily during the daytime.
-
D.
principalSchoolIn
Indicates that an individual serves as the principal (head administrator) of a particular school.
-
E.
school
Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 1:19 p.m.