Triple
T34141878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umm al-Banin |
E875740
|
entity |
| Predicate | titleInDevotionalLiterature |
P189678
|
FINISHED |
| Object | MotherOfAbbas |
—
|
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: MotherOfAbbas | Statement: [Umm al-Banin, titleInDevotionalLiterature, MotherOfAbbas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleInDevotionalLiterature Context triple: [Umm al-Banin, titleInDevotionalLiterature, MotherOfAbbas]
-
A.
devotionalTitle
Indicates that one entity serves as the devotional or religiously themed title associated with another entity.
-
B.
devotionalTitleType
Indicates the specific kind or category of title used in a devotional context (such as a form of address or honorific used in religious devotion).
-
C.
devotionalTitleUsedBy
chosen
Indicates that a particular devotional or honorific title is used to refer to or address a given entity.
-
D.
keyBiblicalTitle
Indicates that one entity is a primary or authoritative biblical title or designation for another entity.
-
E.
titleOfTitle
Indicates that one title is the title of another title (e.g., a sub-title or alternate title associated with a primary title).
- 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff29d831b881908d485609e0fc1d0b |
completed | May 9, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_69ff28f9f9e4819087f3402735de66c7 |
completed | May 9, 2026, 12:30 p.m. |
Created at: May 1, 2026, 1:54 a.m.