Triple
T15862279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will County |
E384617
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Park Forest |
—
|
NE NERFINISHED |
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: Park Forest | Statement: [Will County, hasVillage, Park Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Park Forest Context triple: [Will County, hasVillage, Park Forest]
-
A.
Rolling Meadows
Rolling Meadows is a suburban city in northeastern Illinois, United States, located in the Chicago metropolitan area.
-
B.
Park Forest, Illinois
chosen
Park Forest, Illinois is a suburban village in the Chicago metropolitan area known for its post–World War II planned community design and diverse residential character.
-
C.
Park Ridge
Park Ridge is a residential suburb located within Logan City in Queensland, Australia.
-
D.
Arlington Heights
Arlington Heights is the elevated landform in Arlington, Virginia, that overlooks Washington, D.C. and serves as the site of Arlington National Cemetery and the former Arlington House estate.
-
E.
Lake Forest
Lake Forest is a suburban city in Orange County, California, known for its residential communities, parks, and proximity to major Southern California employment centers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555c75688190aeae5bcf5bb92bb7 |
completed | April 16, 2026, 9:32 p.m. |
Created at: April 10, 2026, 4:50 a.m.