Triple
T2602754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenbelt, Maryland |
E58381
|
entity |
| Predicate | originalHousingType |
P542
|
FINISHED |
| Object | cooperative 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: cooperative housing | Statement: [Greenbelt, Maryland, originalHousingType, cooperative housing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalHousingType Context triple: [Greenbelt, Maryland, originalHousingType, cooperative housing]
-
A.
residenceType
chosen
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
B.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
C.
formerHabitat
Indicates that a location once served as a habitat for an entity but no longer does.
-
D.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
propertyTypeOwned
Indicates that one entity owns a specific type or category of property in relation to another entity.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd459ca6c81908505be96d097b739 |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.