Triple
T30294153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulton County, Ohio |
E770469
|
entity |
| Predicate | borderingProvinceOrState |
P88549
|
FINISHED |
| Object | Michigan |
—
|
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: Michigan | Statement: [Fulton County, Ohio, borderingProvinceOrState, Michigan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingProvinceOrState Context triple: [Fulton County, Ohio, borderingProvinceOrState, Michigan]
-
A.
borderingStateOrProvince
chosen
Indicates that one state or province shares a common boundary with another state or province.
-
B.
borderingCountryOfItsProvince
Indicates that one country shares a land border with the country to which a given province belongs.
-
C.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
D.
borderingStateOrTerritory
Indicates that one state or territory shares a common boundary with another state or territory.
-
E.
stateBorderContext
Indicates that one state shares a border with another state within a specified geographic or political context.
- 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_69f224875c288190a9b96b975006ec4a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 29, 2026, 7:47 p.m.