Triple
T27414437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | province of Quebec |
E692851
|
entity |
| Predicate | borderWithTerritory |
P190994
|
FINISHED |
| Object | Nunavut (marine boundary) |
—
|
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: Nunavut (marine boundary) | Statement: [province of Quebec, borderWithTerritory, Nunavut (marine boundary)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderWithTerritory Context triple: [province of Quebec, borderWithTerritory, Nunavut (marine boundary)]
-
A.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
B.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
C.
borderingCountryOfTerritory
Indicates that one country shares a land or maritime boundary with the specified territory.
-
D.
countryBorderType
Indicates the type or nature of the border relationship that exists between two countries.
-
E.
borderStateOf
Indicates that one state shares a common boundary or border with another state.
- F. None of above. chosen
Provenance (4 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_69ef5208617081908f731d312e0fd1bc |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: April 27, 2026, 12:33 p.m.