Triple
T20753233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fond-du-Lac Denesuline First Nation |
E510784
|
entity |
| Predicate | hasPeople |
P17131
|
FINISHED |
| Object | Denesuline |
—
|
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: Denesuline | Statement: [Fond-du-Lac Denesuline First Nation, hasPeople, Denesuline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denesuline Context triple: [Fond-du-Lac Denesuline First Nation, hasPeople, Denesuline]
-
A.
Denesuline
chosen
Denesuline are a First Nations people of the larger Dene cultural and linguistic group, traditionally inhabiting subarctic regions of northern Canada.
-
B.
Kalydeco
Kalydeco is a prescription medication used to treat certain forms of cystic fibrosis by improving the function of defective CFTR proteins.
-
C.
Anpezan
Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
-
D.
Atalide
Atalide is a central tragic heroine in Jean Racine’s 1672 play "Bajazet," caught in a complex web of love, jealousy, and political intrigue in the Ottoman court.
-
E.
Singulair
Singulair is a prescription leukotriene receptor antagonist (montelukast) commonly used to prevent and manage asthma and allergy symptoms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22d0ebc8190b17077326f540f98 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.