Triple
T24680695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunavut–Northwest Territories boundary |
E611120
|
entity |
| Predicate | languageRegionOnBothSides |
P84033
|
FINISHED |
| Object | English-speaking administrative regions |
—
|
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: English-speaking administrative regions | Statement: [Nunavut–Northwest Territories boundary, languageRegionOnBothSides, English-speaking administrative regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageRegionOnBothSides Context triple: [Nunavut–Northwest Territories boundary, languageRegionOnBothSides, English-speaking administrative regions]
-
A.
languageOnBothSides
chosen
Indicates that the same language is used or present on both sides of a given relationship, boundary, or comparison.
-
B.
alsoInLanguageRegion
Indicates that two or more entities are located within or associated with the same language-defined geographic region.
-
C.
languageFamilyRegion
Indicates the geographic region or area in which a language family is predominantly found or historically associated.
-
D.
subjectLanguageRegion
Indicates that the subject is associated with or uses a language specific to a particular geographic region.
-
E.
isBilingualRegion
Indicates that a region officially uses two languages or has two predominant languages in regular use.
- 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_69e2c4d5c2dc8190ac857dea25ec6ce9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 3:08 a.m.