Triple
T2043883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jami al-Tirmidhi |
E45405
|
entity |
| Predicate | methodologyFeature |
P5048
|
FINISHED |
| Object | includes comments on hadith authenticity |
—
|
LITERAL FINISHED |
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: includes comments on hadith authenticity | Statement: [Jami al-Tirmidhi, methodologyFeature, includes comments on hadith authenticity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodologyFeature Context triple: [Jami al-Tirmidhi, methodologyFeature, includes comments on hadith authenticity]
-
A.
methodologyType
Indicates the specific kind or category of method or procedure used in carrying out an activity or study.
-
B.
featuresMethod
Indicates that an entity includes or provides a particular method as part of its functionality or behavior.
-
C.
disciplinaryMethod
Indicates a method or approach used to discipline, correct, or control another party’s behavior.
-
D.
technologicalFeature
Indicates that one entity possesses, exhibits, or is characterized by a specific technological capability, component, or functionality in relation to another entity.
-
E.
featureType
chosen
Indicates the specific kind or category of feature that characterizes or distinguishes an 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.