Triple
T18591318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewelling |
E454373
|
entity |
| Predicate | hasResidentialBuildingTypes |
P122880
|
FINISHED |
| Object | single-family homes |
—
|
LITERAL 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: single-family homes | Statement: [Lewelling, hasResidentialBuildingTypes, single-family homes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentialBuildingTypes Context triple: [Lewelling, hasResidentialBuildingTypes, single-family homes]
-
A.
hasResidentialBuildingsType
chosen
Indicates that an entity is associated with a specific type or category of residential buildings.
-
B.
hasResidentialFloors
Indicates that an entity (such as a building or structure) includes one or more floors designated for residential use.
-
C.
isResidential
Indicates that something is used or designated primarily for people to live in, rather than for commercial, industrial, or other non-living purposes.
-
D.
hasResidentialArea
Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
-
E.
isResidentialBaseFor
Indicates that a location serves as the primary place of residence or home base for a person or group.
- F. None of above.
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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b5bc688190bdfe3911ac6b2d76 |
completed | April 19, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:44 a.m.