Triple
T34404112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinai wilderness complex |
E883060
|
entity |
| Predicate | routeAssociatedWith |
P30193
|
FINISHED |
| Object | traditional southern Sinai Exodus route |
—
|
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: traditional southern Sinai Exodus route | Statement: [Sinai wilderness complex, routeAssociatedWith, traditional southern Sinai Exodus route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: routeAssociatedWith Context triple: [Sinai wilderness complex, routeAssociatedWith, traditional southern Sinai Exodus route]
-
A.
associatedWithRouteNetwork
chosen
Indicates a relationship where something is linked or connected to a specific route network.
-
B.
roadAssociatedWith
Indicates that there is a relevant connection or linkage between a road and another entity, such as use, location, function, or impact.
-
C.
connectedRoute
Indicates that there is a direct or logically continuous path linking two locations or segments within a network.
-
D.
routeOf
Indicates that one entity is the path, course, or trajectory taken or followed by another entity (such as a vehicle, shipment, or signal).
-
E.
routeRole
Indicates the specific functional role or purpose that an entity has within a particular route or path.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.