Triple
T6484287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Maxinkuckee |
E146469
|
entity |
| Predicate | hasShorelineSettlement |
P969
|
FINISHED |
| Object | Culver |
E102959
|
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: Culver | Statement: [Lake Maxinkuckee, hasShorelineSettlement, Culver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Culver Context triple: [Lake Maxinkuckee, hasShorelineSettlement, Culver]
-
A.
Culver, Indiana
chosen
Culver, Indiana is a small town in northern Indiana best known as the home of the prestigious Culver Military Academy on the shores of Lake Maxinkuckee.
-
B.
Columbia City
Columbia City is a historic, culturally diverse neighborhood in southeast Seattle known for its vibrant business district, arts scene, and early 20th-century architecture.
-
C.
Winslow
Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
-
D.
Winslow
Winslow is an English-origin surname historically associated with early colonial families in New England.
-
E.
Winslow
Winslow is a small historic market town in Buckinghamshire, England, known for its traditional architecture and rural surroundings.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6de31c81909dd99d105f5bb4c2 |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653b24670819088fa8e0d7eb6f73b |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:52 p.m.