Triple
T6241103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attawapiskat First Nation |
E139600
|
entity |
| Predicate | previousSchoolIssue |
P57405
|
FINISHED |
| Object | diesel fuel contamination at former school site |
—
|
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: diesel fuel contamination at former school site | Statement: [Attawapiskat First Nation, previousSchoolIssue, diesel fuel contamination at former school site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousSchoolIssue Context triple: [Attawapiskat First Nation, previousSchoolIssue, diesel fuel contamination at former school site]
-
A.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
B.
educationIssue
chosen
Indicates that there is a problem, challenge, or concern related to education affecting the entities involved.
-
C.
school
Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
-
D.
schoolAttended
Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other entity.
-
E.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0630797f88190a5571f6000ba2e3b |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.