Triple
T34590478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port system of Indonesia |
E888167
|
entity |
| Predicate | includesPortAuthority |
—
|
GENERATED |
| Object | Pelindo |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPortAuthority Context triple: [Port system of Indonesia, includesPortAuthority, Pelindo]
-
A.
includesPort
Indicates that one entity contains, encompasses, or has as part of it a specific port or set of ports.
-
B.
portAuthorityType
Indicates the classification or category of a port authority based on its organizational or administrative type.
-
C.
hasPortCity
Indicates that a place or region possesses or is associated with a city that functions as its port.
-
D.
isHomePortOf
Indicates that a particular location serves as the primary base or port where a vessel or fleet is officially registered, stationed, or regularly returns.
-
E.
hasPortDistrict
Indicates that an entity is associated with or located within a specific port district.
- F. None of above. chosen
Provenance (1 batch)
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_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:03 a.m.