Triple
T25814793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | غار النبي |
E650218
|
entity |
| Predicate | كان يختلي فيه |
P31585
|
FINISHED |
| Object | النبي محمد قبل البعثة |
—
|
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: النبي محمد قبل البعثة | Statement: [غار النبي, كان يختلي فيه, النبي محمد قبل البعثة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: كان يختلي فيه Context triple: [غار النبي, كان يختلي فيه, النبي محمد قبل البعثة]
-
A.
immersedIn
Indicates that one entity is fully surrounded, absorbed, or deeply involved within another medium, environment, or activity.
-
B.
wasIn
chosen
Indicates that an entity existed, occurred, or was located within a particular place or context during a specified time or situation.
-
C.
hadInteriorSea
Indicates that a geographic region or landmass once contained a sea or large body of water within its interior.
-
D.
locatedInTheInteriorOf
Indicates that one entity is situated entirely within the inner part or inside area of another entity, rather than on its surface or boundary.
-
E.
aboardShip
Indicates that one entity is physically on or inside a ship, typically as a passenger, crew member, or cargo.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f600c84ac4819091492e52a5a8b873 |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 7:25 a.m.