Triple
T32061254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago |
E818754
|
entity |
| Predicate | extendsIntoCounty |
P51729
|
FINISHED |
| Object | DuPage County |
—
|
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: DuPage County | Statement: [Chicago, extendsIntoCounty, DuPage County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extendsIntoCounty Context triple: [Chicago, extendsIntoCounty, DuPage County]
-
A.
enteredUnionAsCounty
Indicates that an entity became part of a political union specifically with the status or designation of a county.
-
B.
includesCounty
Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
-
C.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
D.
hasAdditionalCounty
chosen
Indicates that an entity is associated with one or more counties beyond its primary or originally specified county.
-
E.
hasNearbyCounty
Indicates that one county is geographically close to or directly adjacent to another county.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4f638908190957f64096c07535f |
completed | May 3, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:21 a.m.