Triple
T24377511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitab al-Athar |
E614517
|
entity |
| Predicate | basedOnTeachingOf |
P131491
|
FINISHED |
| Object | Abu Hanifa |
—
|
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: Abu Hanifa | Statement: [Kitab al-Athar, basedOnTeachingOf, Abu Hanifa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnTeachingOf Context triple: [Kitab al-Athar, basedOnTeachingOf, Abu Hanifa]
-
A.
containsTeachingOf
chosen
Indicates that one entity includes, embodies, or presents the teaching, doctrine, or instructional content associated with another entity.
-
B.
isTeachingBaseFor
Indicates that one entity serves as a foundational or primary teaching resource or location for another entity.
-
C.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
D.
teachingSupportedBy
Indicates that a teaching activity is enabled, facilitated, or enhanced by support from another entity (such as resources, tools, services, or personnel).
-
E.
definedTeaching
Indicates that one entity has formally specified or established the teaching content, method, or curriculum for another entity.
- 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293d96e7c8190b2f33a8fd12c32c6 |
completed | April 29, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:02 a.m.