Triple
T37010519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahl-i Hadith movement |
E915929
|
entity |
| Predicate | languageOfReligiousDiscourse |
P69775
|
FINISHED |
| Object | Urdu |
—
|
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: Urdu | Statement: [Ahl-i Hadith movement, languageOfReligiousDiscourse, Urdu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfReligiousDiscourse Context triple: [Ahl-i Hadith movement, languageOfReligiousDiscourse, Urdu]
-
A.
languageOfReligion
Indicates the language in which a particular religion is traditionally expressed, practiced, or documented.
-
B.
religiousLinguisticCategory
Indicates a categorization relationship where an entity is classified according to a religiously defined or influenced linguistic grouping or category.
-
C.
religiousDiscourseWith
Indicates that one entity engages in conversation or exchange specifically about religious topics with another entity.
-
D.
languageOfReligiousLife
chosen
Indicates the language primarily used in the religious practices, rituals, or spiritual life associated with an entity.
-
E.
positionOnReligiousLanguage
Indicates a stance or viewpoint someone holds regarding how religious language should be understood, interpreted, or used.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0160834e388190908591b300954d29 |
completed | May 11, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_6a01602a83408190a11d754bdc7da0e9 |
completed | May 11, 2026, 4:50 a.m. |
Created at: May 3, 2026, 4:14 p.m.