Triple
T10813664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manitoba–Ontario border |
E255167
|
entity |
| Predicate | demarcationMethod |
P3951
|
FINISHED |
| Object | survey monuments |
—
|
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: survey monuments | Statement: [Manitoba–Ontario border, demarcationMethod, survey monuments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demarcationMethod Context triple: [Manitoba–Ontario border, demarcationMethod, survey monuments]
-
A.
demarcationType
chosen
Indicates the specific way in which a boundary or separation between entities is defined, marked, or categorized.
-
B.
demarcationStatus
Indicates the current state or condition of how clearly and officially a boundary or division between entities is defined or marked.
-
C.
hasDemarcationAuthority
Indicates that an entity possesses the formal power or right to define, set, or modify boundaries or divisions between areas, responsibilities, or categories.
-
D.
separationMethod
Indicates the technique or process used to separate one substance, component, or entity from another.
-
E.
currentDelimitationFrom
Indicates that one entity currently defines or establishes the boundary or extent of another entity.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eba9b48190b4dbe7fe5d8be0a4 |
completed | April 9, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:18 p.m.