Triple
T15801208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Māturīdism |
E383101
|
entity |
| Predicate | usesMethod |
P859
|
FINISHED |
| Object | kalām |
E81584
|
NE 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: kalām | Statement: [Māturīdism, usesMethod, kalām]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: kalām Context triple: [Māturīdism, usesMethod, kalām]
-
A.
Islamic kalam
chosen
Islamic kalam is a tradition of rational theological discourse in Islam that uses philosophical argumentation to clarify and defend Islamic beliefs.
-
B.
Kalim Allah
Kalim Allah is an honorific Islamic title meaning "the one who spoke with God," traditionally associated with the prophet Musa (Moses).
-
C.
Zaydi kalam
Zaydi kalam is the rational-theological tradition of the Zaydi branch of Shia Islam, developed to articulate and defend its distinctive doctrines using systematic argumentation.
-
D.
Kalam
Kalam is the surname of A. P. J. Abdul Kalam, the renowned Indian aerospace scientist and former President of India.
-
E.
Kalam
Kalam is a scenic tourist town in Pakistan’s Swat Valley, known for its lush green valleys, rivers, and access to nearby alpine lakes and hiking trails.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b522a2988190b2a2bde2da31b21e |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90b2fd148190b3819d7c41505d52 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.