Triple
T1537356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolton, Illinois |
E32581
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Phoenix, Illinois |
E217975
|
NE 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: Phoenix, Illinois | Statement: [Dolton, Illinois, borderedBy, Phoenix, Illinois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phoenix, Illinois Context triple: [Dolton, Illinois, borderedBy, Phoenix, Illinois]
-
A.
Phoenix, Illinois
chosen
Phoenix, Illinois is a small village in Cook County, Illinois, located in the south suburban area of Chicago.
-
B.
Philo, Illinois
Philo, Illinois is a small rural village located in east-central Illinois, southeast of the city of Champaign.
-
C.
Peoria
Peoria is a suburban city in the Phoenix metropolitan area of central Arizona, known for its rapid growth, residential communities, and recreational amenities.
-
D.
Rockford, Illinois
Rockford, Illinois is a mid-sized city in northern Illinois known historically as an industrial center and for its manufacturing, cultural institutions, and proximity to the Rock River.
-
E.
Winfield, Illinois
Winfield, Illinois is a suburban village in the Chicago metropolitan area known for its residential character and proximity to major medical and forest preserve facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9082af6d88190b63a187ef516bb21 |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae26e37de88190b817c24323951ea8 |
completed | March 9, 2026, 1:48 a.m. |
Created at: March 4, 2026, 7:26 p.m.