Triple
T652669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Journey of Muhammad |
E11377
|
entity |
| Predicate | visitedRealm |
P16950
|
FINISHED |
| Object | first heaven |
—
|
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: first heaven | Statement: [Night Journey of Muhammad, visitedRealm, first heaven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitedRealm Context triple: [Night Journey of Muhammad, visitedRealm, first heaven]
-
A.
visitedFor
Indicates that one entity traveled to or attended another entity (such as a place, person, or event) for a specific purpose or reason.
-
B.
visitedBy
Indicates that a location or entity is the destination or target of a visit performed by another entity.
-
C.
visitedContinent
Indicates that an entity has traveled to and spent time on a particular continent.
-
D.
realm
Indicates that one entity is a domain, sphere of influence, or area of control associated with another entity.
-
E.
visitedCountry
Indicates that an entity has traveled to and spent time in a particular country.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4a660c8190b887cb4da01ef7ae |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.