Triple
T29319317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghadamès region |
E743470
|
entity |
| Predicate | transportRoutes |
P11026
|
FINISHED |
| Object | trans-Saharan caravan routes |
—
|
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: trans-Saharan caravan routes | Statement: [Ghadamès region, transportRoutes, trans-Saharan caravan routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportRoutes Context triple: [Ghadamès region, transportRoutes, trans-Saharan caravan routes]
-
A.
hadTransportRoutes
Indicates that there were established transportation routes or connections between the related entities.
-
B.
tradRoutes
Indicates a relationship where one location serves as a trade route to or from another location, facilitating the movement of goods or commerce between them.
-
C.
routesFrom
Indicates that something (such as a path, connection, or communication) originates at one entity and is directed or carried from that source entity toward another.
-
D.
hasTransportRoute
chosen
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
E.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
- 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: April 28, 2026, 1:22 p.m.