Triple
T2237502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savannah |
E49314
|
entity |
| Predicate | PortOfSavannahStatus |
P33212
|
FINISHED |
| Object | one of the busiest container ports in the United States |
—
|
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: one of the busiest container ports in the United States | Statement: [Savannah, PortOfSavannahStatus, one of the busiest container ports in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PortOfSavannahStatus Context triple: [Savannah, PortOfSavannahStatus, one of the busiest container ports in the United States]
-
A.
stateOfHarbor
Indicates the current operational or physical condition or status of a harbor.
-
B.
marineProtectionStatus
Indicates the level or type of legal or regulatory protection applied to a marine area or resource.
-
C.
waterwayStatus
Indicates the current navigational or operational condition of a waterway, such as whether it is open, restricted, or closed for use.
-
D.
statusOfGulfCoastSegment
Indicates the current condition or state assigned to a specific segment of the Gulf Coast.
-
E.
hasSeaportStatus
chosen
Indicates that an entity possesses the status or designation of being a seaport or having seaport facilities.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc096c7748190a545cc9b229bde62 |
completed | March 7, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69abbdafc07881909101266a33ae7031 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.