Triple
T23049776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larder Lake Township |
E573974
|
entity |
| Predicate | hasNearbyCommunity |
P4647
|
FINISHED |
| Object | Englehart |
—
|
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: Englehart | Statement: [Larder Lake Township, hasNearbyCommunity, Englehart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Englehart Context triple: [Larder Lake Township, hasNearbyCommunity, Englehart]
-
A.
Englehart
chosen
Englehart is a small town located in the Timiskaming District of northeastern Ontario, Canada.
-
B.
Egan
Egan is a surname of Irish origin borne by various notable individuals, including the American novelist Jennifer Egan.
-
C.
Egan
Egan is a small town located in Moody County in eastern South Dakota, United States.
-
D.
Enzberg
Enzberg is a district of the town of Mühlacker in the state of Baden-Württemberg, Germany.
-
E.
Alpern
Alpern is a surname most notably associated with Robert J. Alpern, an American nephrologist and academic leader in medical education and research.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867b800881909fabf9dca994c9e7 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.