Triple
T23109563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | former Cree community of Winisk |
E576276
|
entity |
| Predicate | successorSettlementType |
P150950
|
FINISHED |
| Object | relocated Cree community |
—
|
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: relocated Cree community | Statement: [former Cree community of Winisk, successorSettlementType, relocated Cree community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorSettlementType Context triple: [former Cree community of Winisk, successorSettlementType, relocated Cree community]
-
A.
successorSettlement
Indicates that one settlement directly follows and replaces another as its successor.
-
B.
successorType
Indicates the specific kind or category of successor relationship that holds between one entity and the next in a sequence or hierarchy.
-
C.
successorRegimeType
Indicates the type or form of government or regime that directly follows and replaces a preceding regime.
-
D.
settlementType
Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
-
E.
previousSettlementType
Indicates the type or classification of a settlement that existed at a location before the current or present settlement type.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0d3d4881908e32837b3fbbb406 |
completed | April 29, 2026, 4:50 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:58 p.m.