Triple
T3434323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake of the Isles |
E72410
|
entity |
| Predicate | hasNearbyNeighborhood |
P350
|
FINISHED |
| Object |
Cedar-Isles-Dean
Cedar-Isles-Dean is an affluent, scenic neighborhood in Minneapolis known for its lakes, parks, and historic homes.
|
E357497
|
NE FINISHED |
How this triple was built (4 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: Cedar-Isles-Dean | Statement: [Lake of the Isles, hasNearbyNeighborhood, Cedar-Isles-Dean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cedar-Isles-Dean Context triple: [Lake of the Isles, hasNearbyNeighborhood, Cedar-Isles-Dean]
-
A.
Cedar Miles
Cedar Miles is the frequent flyer loyalty program of Middle East Airlines, offering members mileage accrual and redemption benefits on flights and partner services.
-
B.
Inskeep & Bradford
Inskeep & Bradford was an early 19th-century American publishing firm known for issuing notable works of literature and history.
-
C.
Crouse
Crouse is a surname most notably associated with American actress Lindsay Crouse and her family.
-
D.
Deane
Deane is a given name and surname used in English-speaking countries, often considered a variant spelling of Dean.
-
E.
Hackett
Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cedar-Isles-Dean Triple: [Lake of the Isles, hasNearbyNeighborhood, Cedar-Isles-Dean]
Generated description
Cedar-Isles-Dean is an affluent, scenic neighborhood in Minneapolis known for its lakes, parks, and historic homes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cedar-Isles-Dean Target entity description: Cedar-Isles-Dean is an affluent, scenic neighborhood in Minneapolis known for its lakes, parks, and historic homes.
-
A.
Cedar Miles
Cedar Miles is the frequent flyer loyalty program of Middle East Airlines, offering members mileage accrual and redemption benefits on flights and partner services.
-
B.
Inskeep & Bradford
Inskeep & Bradford was an early 19th-century American publishing firm known for issuing notable works of literature and history.
-
C.
Crouse
Crouse is a surname most notably associated with American actress Lindsay Crouse and her family.
-
D.
Deane
Deane is a given name and surname used in English-speaking countries, often considered a variant spelling of Dean.
-
E.
Hackett
Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
- F. None of above. chosen
Provenance (5 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9c3300881909f5c3544f8923b41 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547fd15481909c310b731231d5bb |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b3588a03c08190aaed9a22837f2c0d |
completed | March 13, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b358e305548190b861e5ecbb59fa56 |
completed | March 13, 2026, 12:22 a.m. |
Created at: March 8, 2026, 3:16 p.m.