Triple
T35643336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lodi Township |
E1029933
|
entity |
| Predicate | isRuralSuburban |
P133922
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Lodi Township, isRuralSuburban, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRuralSuburban Context triple: [Lodi Township, isRuralSuburban, yes]
-
A.
isRuralSuburbanCommunity
chosen
Indicates that a community is characterized by a mix of rural and suburban features, typically lying between fully urbanized and sparsely populated rural areas.
-
B.
isSuburbanRuralFringeOf
Indicates that one area lies on the outer edge or transition zone between a suburban region and the surrounding rural countryside of another area.
-
C.
isSuburbanArea
Indicates that a location is characterized as a suburban area, typically lying between urban and rural regions and exhibiting suburban development patterns.
-
D.
isInSuburbanArea
Indicates that something is located within a suburban area, typically between urban and rural regions.
-
E.
isSuburbanCommunity
Indicates that a community is located in a suburban area, typically characterized by residential neighborhoods situated between urban centers and rural regions.
- 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_69f76e087bdc8190a4794bf9c0bd7634 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f4d48548190a2b332aefc390b01 |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.