Triple
T35552436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackson Township, Franklin County, Ohio |
E1027398
|
entity |
| Predicate | hasLandUseTrend |
P200435
|
FINISHED |
| Object | suburban residential expansion |
—
|
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: suburban residential expansion | Statement: [Jackson Township, Franklin County, Ohio, hasLandUseTrend, suburban residential expansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandUseTrend Context triple: [Jackson Township, Franklin County, Ohio, hasLandUseTrend, suburban residential expansion]
-
A.
hasLandUseCharacter
Indicates that one entity possesses or is associated with a particular type or pattern of land use.
-
B.
hasLandUseSystem
Indicates that an entity is associated with or characterized by a particular system or pattern of land use.
-
C.
landUseChangeTo
Indicates a transition in how a piece of land is used, from its previous use to a new designated use.
-
D.
hasZoningTrend
Indicates a relationship where a zoning area or jurisdiction exhibits a particular pattern or direction of change in its zoning characteristics over time.
-
E.
hasLikelyLandUse
Indicates that an area or parcel is associated with a predicted or most probable type of land use (e.g., residential, commercial, agricultural).
- F. None of above. chosen
Provenance (4 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_69f76e014fd481909e9f04ac603a2aa9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff8aff48988190a48a440de8238ef9 |
completed | May 9, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69ff8a780404819082f48ceb21e7fe11 |
completed | May 9, 2026, 7:26 p.m. |
| PDg | Predicate description generation | batch_69ff8afe9d5c8190bd5ae434fc2b550b |
completed | May 9, 2026, 7:29 p.m. |
Created at: May 3, 2026, 4:04 p.m.