Triple
T17428298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter H. Leimert Company |
E423800
|
entity |
| Predicate | developedTypeOfArea |
P58795
|
FINISHED |
| Object | planned residential neighborhood |
—
|
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: planned residential neighborhood | Statement: [Walter H. Leimert Company, developedTypeOfArea, planned residential neighborhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedTypeOfArea Context triple: [Walter H. Leimert Company, developedTypeOfArea, planned residential neighborhood]
-
A.
developedArea
Indicates that a geographic region or land parcel has been built upon or otherwise modified for human use, such as through construction or infrastructure development.
-
B.
areaBasedDevelopmentType
chosen
Indicates the type or category of development applied to a specific geographic area or zone.
-
C.
typeOfAreaRepresented
Indicates that one entity specifies the kind or category of area that another entity represents.
-
D.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
E.
urbanAreaType
Indicates the classification of an area based on its urban characteristics or development type (e.g., city, town, suburb, metropolitan region).
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fdc1348190985db52c8c74c394 |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.