Triple
T14417620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowry Hill |
E357496
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Calhoun-Isles community |
E1099003
|
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: Calhoun-Isles community | Statement: [Lowry Hill, partOf, Calhoun-Isles community]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calhoun-Isles community Context triple: [Lowry Hill, partOf, Calhoun-Isles community]
-
A.
Calhoun-Isles community
chosen
The Calhoun-Isles community is an upscale urban area of Minneapolis known for its lakes, historic neighborhoods, and vibrant commercial districts.
-
B.
Mount Hope community
Mount Hope community is a small locality that lends its name to the nearby Mount Hope Airport.
-
C.
Mount Pleasant area
The Mount Pleasant area is a region in central Michigan known for its entertainment, gaming, and tourism centered around the Soaring Eagle Casino & Resort.
-
D.
Mount Pleasant area
The Mount Pleasant area is a community in Westmoreland County, Pennsylvania, known for its small-town character and regional connectivity via local state highways.
-
E.
Branchton
Branchton is a small locality known primarily for its railway station, which serves as a transport link for the surrounding area.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cec8e4819087c72d82f9caacda |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d82f9ec81909e52485f6ec1837e |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:17 a.m.