Triple
T413676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Preserve District of DuPage County |
E9544
|
entity |
| Predicate | acquires |
P2511
|
FINISHED |
| Object | land for forest preserves |
—
|
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: land for forest preserves | Statement: [Forest Preserve District of DuPage County, acquires, land for forest preserves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquires Context triple: [Forest Preserve District of DuPage County, acquires, land for forest preserves]
-
A.
acquisition
chosen
Indicates the act or relationship in which one entity obtains ownership or control of another entity, asset, or resource.
-
B.
acquisitionType
Indicates the specific kind or category of acquisition relationship that exists between entities (such as a company buying another company, assets, or a controlling stake).
-
C.
receives
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
-
D.
occupies
Indicates that one entity takes up or resides within a physical or conceptual space belonging to or associated with another entity.
-
E.
attracts
Indicates that one entity exerts a force or influence that draws another entity toward it.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecdc422881908910428fd1aee7c6 |
completed | Feb. 28, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69a2e9749234819084b0ce94faabd0b1 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.