Triple
T17428304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter H. Leimert Company |
E423800
|
entity |
| Predicate | developedForUse |
P11902
|
FINISHED |
| Object | residential housing |
—
|
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: residential housing | Statement: [Walter H. Leimert Company, developedForUse, residential housing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedForUse Context triple: [Walter H. Leimert Company, developedForUse, residential housing]
-
A.
developedForProgram
Indicates that something was created, designed, or produced specifically to be used in or support a particular program.
-
B.
originallyDevelopedFor
chosen
Indicates that something was first created, designed, or produced with the primary purpose of serving a particular use, user group, context, or application.
-
C.
developedForDomain
Indicates that something was created, designed, or tailored specifically to be used within or to address the needs of a particular domain or field.
-
D.
developedForLanguage
Indicates that something (such as a tool, system, or resource) was specifically created or adapted to be used with a particular language.
-
E.
developedWith
Indicates that something was created, built, or produced using a specified tool, technology, method, or collaborator.
- 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.