Triple
T6694622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prophet Isa |
E152715
|
entity |
| Predicate | birthLocationInIslamicTradition |
P21703
|
FINISHED |
| Object | near Bethlehem or Jerusalem region |
—
|
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: near Bethlehem or Jerusalem region | Statement: [Prophet Isa, birthLocationInIslamicTradition, near Bethlehem or Jerusalem region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: birthLocationInIslamicTradition Context triple: [Prophet Isa, birthLocationInIslamicTradition, near Bethlehem or Jerusalem region]
-
A.
knownInIslamAs
Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
-
B.
caliphateLocation
Indicates the geographic place or region where a particular caliphate is or was established.
-
C.
positionInIslam
Indicates the specific religious role, rank, or status an entity holds within the context of Islam.
-
D.
allegedBirthRegion
chosen
Indicates the region where an entity is claimed or reported to have been born, without asserting that this birthplace is verified as fact.
-
E.
placeOfBirth
Indicates the location where a person or other entity was born.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b5ed99e48190970805225458ce82 |
completed | March 27, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0e1d348190af1762ea1951038e |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:05 p.m.