Triple
T12571534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Hereafter |
E295614
|
entity |
| Predicate | hasArabicTerm |
P6450
|
FINISHED |
| Object | al-Ākhirah |
—
|
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: al-Ākhirah | Statement: [the Hereafter, hasArabicTerm, al-Ākhirah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArabicTerm Context triple: [the Hereafter, hasArabicTerm, al-Ākhirah]
-
A.
hasNameInArabic
chosen
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
B.
hasGivenNameFormInArabic
Indicates that an entity has a specific given-name form expressed in the Arabic language.
-
C.
hasLadinName
Indicates that an entity is associated with a specific name expressed in the Ladin language.
-
D.
cognateInArabic
Indicates that a given term has a corresponding cognate form in Arabic that is historically or linguistically related in origin or structure.
-
E.
hasArabicNumeral
Indicates that an entity is associated with, represented by, or expressed using an Arabic numeral.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:50 p.m.