Triple
T17400883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pas, Manitoba |
E423082
|
entity |
| Predicate | hasStrongPresenceOf |
P32293
|
FINISHED |
| Object | Indigenous peoples |
—
|
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: Indigenous peoples | Statement: [The Pas, Manitoba, hasStrongPresenceOf, Indigenous peoples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStrongPresenceOf Context triple: [The Pas, Manitoba, hasStrongPresenceOf, Indigenous peoples]
-
A.
hasLargePresenceIn
Indicates that an entity maintains a significant or dominant level of activity, influence, or representation within a specified location, domain, or context.
-
B.
hasHumanPresence
Indicates that humans are physically present in or occupying a given location, object, or context.
-
C.
hasRegionStrongPresence
chosen
Indicates that an entity maintains a significant, influential, or concentrated presence within a specified region.
-
D.
confirmedPresenceOf
Indicates that the presence or existence of an entity has been verified as true or established with certainty.
-
E.
meetsInPresenceOf
Indicates that two or more entities meet or interact while another specified entity is present as a witness, chaperone, or contextual participant.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ac126788190b51323bde3c9ba69 |
completed | April 19, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.