Triple
T2186089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeddah Islamic Port |
E49154
|
entity |
| Predicate | servesTraffic |
P26781
|
FINISHED |
| Object | international shipping lines |
—
|
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: international shipping lines | Statement: [Jeddah Islamic Port, servesTraffic, international shipping lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesTraffic Context triple: [Jeddah Islamic Port, servesTraffic, international shipping lines]
-
A.
supportsTraffic
chosen
Indicates that one entity is capable of handling, carrying, or accommodating the flow or volume of traffic associated with another entity.
-
B.
regulatesTrafficBetween
Indicates that one entity controls, manages, or directs the flow of traffic occurring between two other entities or locations.
-
C.
handlesSignificantShareOfTrafficAt
Indicates that an entity is responsible for managing or processing a substantial proportion of the traffic volume at a specified location or system.
-
D.
servesAsGatewayTo
Indicates that one entity functions as an entry point, access route, or intermediary channel that enables reaching or connecting to another entity.
-
E.
hasTrafficManagement
Indicates that an entity implements, uses, or is associated with systems or measures for controlling and optimizing traffic flow.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.