Triple
T10616708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenner, Louisiana |
E276138
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
Lakelawn
Lakelawn is a residential neighborhood located within the city of Kenner in Jefferson Parish, Louisiana.
|
E876059
|
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: Lakelawn | Statement: [Kenner, Louisiana, hasNeighborhood, Lakelawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakelawn Context triple: [Kenner, Louisiana, hasNeighborhood, Lakelawn]
-
A.
Shorewood Hills
Shorewood Hills is a small, affluent residential village located just west of downtown Madison in Dane County, Wisconsin.
-
B.
Vails Grove
Vails Grove is a small hamlet within the Town of Southeast in Putnam County, New York, known primarily as a residential lakeside community.
-
C.
Huntley Hills
Huntley Hills is a residential neighborhood in the city of Chamblee, Georgia, known for its mid-century homes and suburban character within the Atlanta metropolitan area.
-
D.
Elmwood Springs
Elmwood Springs is a small, close-knit fictional American town created by Fannie Flagg and used as the setting for several of her interconnected novels.
-
E.
Olander Park
Olander Park is a popular public recreation area in Sylvania, Ohio, known for its central lake, walking trails, and community events.
- 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: Lakelawn Triple: [Kenner, Louisiana, hasNeighborhood, Lakelawn]
Generated description
Lakelawn is a residential neighborhood located within the city of Kenner in Jefferson Parish, Louisiana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lakelawn Target entity description: Lakelawn is a residential neighborhood located within the city of Kenner in Jefferson Parish, Louisiana.
-
A.
Shorewood Hills
Shorewood Hills is a small, affluent residential village located just west of downtown Madison in Dane County, Wisconsin.
-
B.
Vails Grove
Vails Grove is a small hamlet within the Town of Southeast in Putnam County, New York, known primarily as a residential lakeside community.
-
C.
Huntley Hills
Huntley Hills is a residential neighborhood in the city of Chamblee, Georgia, known for its mid-century homes and suburban character within the Atlanta metropolitan area.
-
D.
Elmwood Springs
Elmwood Springs is a small, close-knit fictional American town created by Fannie Flagg and used as the setting for several of her interconnected novels.
-
E.
Olander Park
Olander Park is a popular public recreation area in Sylvania, Ohio, known for its central lake, walking trails, and community events.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df6e2df4819099a19b59d90d0dd1 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b7bb7108190b0f1cbe4117abec0 |
completed | April 10, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d96dee84f48190bf5b0cb1115a8bba |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9708824208190acf75933962d690f |
completed | April 10, 2026, 9:50 p.m. |
Created at: April 8, 2026, 7:33 p.m.