Triple
T8715940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culebra Cut |
E206893
|
entity |
| Predicate | connectsWaterways |
P48420
|
FINISHED |
| Object | Atlantic Ocean approach via Gatun Lake |
—
|
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: Atlantic Ocean approach via Gatun Lake | Statement: [Culebra Cut, connectsWaterways, Atlantic Ocean approach via Gatun Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsWaterways Context triple: [Culebra Cut, connectsWaterways, Atlantic Ocean approach via Gatun Lake]
-
A.
waterwayLinkBetween
chosen
Indicates a connection or linkage between two waterways, such as rivers, canals, or channels, through which water can flow or navigation can occur.
-
B.
waterwaySystem
Indicates that one entity is part of, or belongs to, a connected network of waterways associated with another entity.
-
C.
waterwayServed
Indicates that a place, facility, or infrastructure is served by, connected to, or functionally supported by a particular waterway.
-
D.
associatedWithWaterways
Indicates a relationship in which something is connected, linked, or relevant to waterways such as rivers, canals, or streams.
-
E.
parallelWaterway
Indicates that one waterway runs alongside another waterway in a roughly parallel course without significantly intersecting it.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd807cc819090b58caf285b397a |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.