Triple
T19725563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seymour Creek Indian Reserve No. 2 |
E473717
|
entity |
| Predicate | hasPrimaryNation |
P137090
|
FINISHED |
| Object | Tsleil-Waututh Nation |
—
|
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: Tsleil-Waututh Nation | Statement: [Seymour Creek Indian Reserve No. 2, hasPrimaryNation, Tsleil-Waututh Nation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryNation Context triple: [Seymour Creek Indian Reserve No. 2, hasPrimaryNation, Tsleil-Waututh Nation]
-
A.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
B.
hasMajorCountry
Indicates that an entity includes, is associated with, or is primarily represented by a particular major country.
-
C.
hasNotableNation
Indicates that an entity is significantly associated with or recognized for a particular nation.
-
D.
hasPrimaryEthnonym
Indicates that an entity is associated with its main or most commonly used ethnonym (ethnic group name) as its primary designation.
-
E.
primaryNationality
Indicates the main national affiliation or citizenship that most strongly characterizes an entity among possibly multiple nationalities.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f7bedc81908f784832c0fc10a1 |
completed | April 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.