Triple
T11068367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dor Daim tradition |
E261681
|
entity |
| Predicate | hasViewOnPrayerText |
P97625
|
FINISHED |
| Object | prayer texts should reflect early Yemenite and Maimonidean norms |
—
|
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: prayer texts should reflect early Yemenite and Maimonidean norms | Statement: [Dor Daim tradition, hasViewOnPrayerText, prayer texts should reflect early Yemenite and Maimonidean norms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewOnPrayerText Context triple: [Dor Daim tradition, hasViewOnPrayerText, prayer texts should reflect early Yemenite and Maimonidean norms]
-
A.
isAddressedInPrayer
Indicates that an entity is the recipient or target of a prayer being spoken or offered.
-
B.
containsPrayerType
Indicates that one entity includes or encompasses a specific type or category of prayer.
-
C.
hasViewOnScripture
Indicates that an entity holds a particular interpretive stance or doctrinal position regarding scripture.
-
D.
canBePrayed
Indicates that an entity is a suitable or valid target for prayer or religious supplication.
-
E.
statusInPrayer
Indicates the specific role, posture, or condition an entity holds while engaged in a prayer activity.
- F. None of above. chosen
Provenance (4 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7992164d88190a01ed567b2529227 |
completed | April 9, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.