Triple
T10657856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnesota and Wisconsin |
E251140
|
entity |
| Predicate | shareBorderLengthCharacteristic |
P39383
|
FINISHED |
| Object | long land and river border |
—
|
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: long land and river border | Statement: [Minnesota and Wisconsin, shareBorderLengthCharacteristic, long land and river border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareBorderLengthCharacteristic Context triple: [Minnesota and Wisconsin, shareBorderLengthCharacteristic, long land and river border]
-
A.
shareBorderLengthApprox
Indicates that two entities share a common boundary whose length is approximately equal to a specified value.
-
B.
hasBorderLengthCharacteristic
chosen
Indicates that a border is associated with a specific length-related property or characteristic.
-
C.
sharesBorderType
Indicates that two entities are connected by a common boundary characterized by the same specified type of border (e.g., land, river, maritime).
-
D.
borderCharacteristic
Indicates that one entity specifies a property, feature, or quality of the border or boundary of another entity.
-
E.
borderSectionLength
Indicates the measured length of a specific segment of a shared border between two geographic or administrative areas.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e01643a88190abc7c16fd0f85e53 |
completed | April 8, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:07 p.m.