Triple
T7475232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uashat mak Mani-Utenam |
E176614
|
entity |
| Predicate | peopleDemographics |
P343
|
FINISHED |
| Object | predominantly Innu |
—
|
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: predominantly Innu | Statement: [Uashat mak Mani-Utenam, peopleDemographics, predominantly Innu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peopleDemographics Context triple: [Uashat mak Mani-Utenam, peopleDemographics, predominantly Innu]
-
A.
populationAge
Indicates the age or age distribution of a population associated with an entity.
-
B.
populationClass
Indicates a categorical classification of a population based on shared characteristics, status, or demographic criteria.
-
C.
demographics
chosen
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
D.
demographicScope
Indicates the specific population group or demographic segment to which something (e.g., a policy, study, product, or service) is targeted or applicable.
-
E.
populationDataSource
Indicates the source or origin from which population data has been obtained or derived.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f41951348190a740b3957a73f825 |
completed | March 27, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:41 p.m.