Triple
T34478002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abū al-Ḥasan |
E885098
|
entity |
| Predicate | linkedPersonSchool |
P42300
|
FINISHED |
| Object | Kufan school of grammar |
—
|
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: Kufan school of grammar | Statement: [Abū al-Ḥasan, linkedPersonSchool, Kufan school of grammar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedPersonSchool Context triple: [Abū al-Ḥasan, linkedPersonSchool, Kufan school of grammar]
-
A.
associatedWithSchool
chosen
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
-
B.
partnerSchool
Indicates a formal collaborative relationship between two educational institutions, typically involving shared programs, resources, or exchange activities.
-
C.
relationshipToSeniorSchool
Indicates the type of connection or affiliation an entity has with a particular senior school (such as attendance, partnership, or oversight).
-
D.
addressesSchool
Indicates that an entity directs communication, services, or actions toward a particular school.
-
E.
alsoAttendedSchool
Indicates that two or more entities attended the same school in addition to any other schools they may have attended.
- 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
Created at: May 1, 2026, 2:01 a.m.