Triple
T25090111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goat Island (Lake Martin) |
E628429
|
entity |
| Predicate | lakeShoreCountry |
P45237
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Goat Island (Lake Martin), lakeShoreCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakeShoreCountry Context triple: [Goat Island (Lake Martin), lakeShoreCountry, United States]
-
A.
hasLakeshore
Indicates that one entity is located along or directly borders the shore of a lake associated with another entity.
-
B.
lakePH
Indicates that a lake has a specified pH value or acidity/alkalinity level.
-
C.
lakeProperty
chosen
Indicates that a property is located on, adjacent to, or otherwise directly associated with a lake.
-
D.
northernShore
Indicates that one entity is located on the northern shore or northern side of another entity, typically a body of water or coastline.
-
E.
borderingCountryAcrossLake
Indicates that two countries share a border that is defined or separated by a lake lying between them.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f461e9b06c8190a44fd097da84c7cb |
completed | May 1, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:24 a.m.