Triple
T20812543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haliburton County |
E512348
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Minden Hills |
E512345
|
NE 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: Minden Hills | Statement: [Haliburton County, hasMunicipality, Minden Hills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minden Hills Context triple: [Haliburton County, hasMunicipality, Minden Hills]
-
A.
Minden Hills
chosen
Minden Hills is a township in Ontario, Canada, that serves as an administrative and service hub within the County of Haliburton.
-
B.
Remete Hills
Remete Hills is a smaller hilly area that forms part of the Buda Hills region near Budapest, Hungary, known for its natural landscapes and hiking opportunities.
-
C.
Buda Hills
Buda Hills are a range of wooded, hilly highlands on the western side of Budapest, known for their scenic views, hiking trails, and residential neighborhoods.
-
D.
Garo Hills
Garo Hills is a scenic, hilly region in western Meghalaya, India, known for its rich biodiversity, dense forests, and the indigenous Garo community.
-
E.
Shere Hills
Shere Hills is a prominent rocky highland and popular hiking and sightseeing destination located near Jos in Plateau State, Nigeria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d415688190b66adc44d4df9bbb |
completed | April 21, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8cdb5d08190a8925efe00fef10e |
completed | May 16, 2026, 11:07 p.m. |
Created at: April 16, 2026, 12:40 p.m.