Triple
T34899852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Sister Island |
E1006550
|
entity |
| Predicate | borderingCountryOfLake |
P85470
|
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: [Middle Sister Island, borderingCountryOfLake, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingCountryOfLake Context triple: [Middle Sister Island, borderingCountryOfLake, United States]
-
A.
countryBorderingLake
Indicates that a country shares a boundary with a specified lake.
-
B.
borderingCountryAcrossLake
Indicates that two countries share a border that is defined or separated by a lake lying between them.
-
C.
bordersLake
chosen
Indicates that one entity is directly adjacent to and shares a boundary with a lake.
-
D.
borderCountryAcrossLake
Indicates that two countries share a border that is defined or separated by a lake lying between them.
-
E.
borderingWaters
Indicates that a geographic area directly touches or is adjacent to a particular body of water.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4 p.m.