Triple
T3667090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermont-Slauson |
E77784
|
entity |
| Predicate | hasUrbanPolicyFocus |
P8236
|
FINISHED |
| Object | community development |
—
|
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: community development | Statement: [Vermont-Slauson, hasUrbanPolicyFocus, community development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanPolicyFocus Context triple: [Vermont-Slauson, hasUrbanPolicyFocus, community development]
-
A.
hasUrbanFunction
Indicates that an entity serves a specific role or purpose within an urban context, such as providing services, infrastructure, or activities typical of a city environment.
-
B.
hasUrbanIssue
Indicates that an entity experiences, is affected by, or is associated with a specific problem or challenge related to urban environments or city life.
-
C.
isUrbanizing
Indicates a process in which an area or population becomes more urban in character, typically through increased development, infrastructure, and concentration of people and activities.
-
D.
hasUrbanClassification
Indicates that an entity is assigned a specific urban status or category within a defined classification system.
-
E.
hasUrbanRole
chosen
Indicates that an entity plays a specific functional or social role within an urban or city context.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc402f5dc8190bd8d56a3c06e88f3 |
completed | March 8, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.