Triple
T2630871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Illinois |
E59627
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Morton, Illinois |
E284037
|
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: Morton, Illinois | Statement: [Central Illinois, contains, Morton, Illinois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morton, Illinois Context triple: [Central Illinois, contains, Morton, Illinois]
-
A.
Morton, Illinois, United States
chosen
Morton, Illinois, United States, is a small village in Tazewell County known for its agricultural industry and annual pumpkin festival.
-
B.
Morris, Illinois
Morris, Illinois is a small city in northeastern Illinois that serves as the administrative and commercial hub of Grundy County.
-
C.
Montgomery, Illinois
Montgomery, Illinois is a suburban village in the Chicago metropolitan area spanning Kane and Kendall counties along the Fox River.
-
D.
Matteson, Illinois
Matteson, Illinois is a suburban village in the Chicago metropolitan area known for its residential communities and retail centers.
-
E.
Elwood, Illinois
Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8c567408190b94ff047efa4bc06 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf219021d081909d814d0dbf564501 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 6, 2026, 9:50 p.m.