Triple
T7519622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence County, Wisconsin |
E177734
|
entity |
| Predicate | isHeavilyForested |
P71211
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Florence County, Wisconsin, isHeavilyForested, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHeavilyForested Context triple: [Florence County, Wisconsin, isHeavilyForested, true]
-
A.
isForested
chosen
Indicates that an area or region is covered predominantly by forest or dense tree vegetation.
-
B.
forestArea
Indicates the extent or size of land covered by forest within a given area or region.
-
C.
hasForestType
Indicates that an area or location is characterized by a specific type or classification of forest.
-
D.
forestCoverCharacteristic
Indicates a relationship where a forested area possesses a specific attribute or quality related to its tree or vegetation cover.
-
E.
locatedInForest
Indicates that an entity is situated within the boundaries of a forest.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f98ae48190946a18d7c2d33bcd |
completed | March 27, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:46 p.m.