Triple
T32061241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago |
E818754
|
entity |
| Predicate | isStateLargestCityOf |
P163
|
FINISHED |
| Object | Illinois |
—
|
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: Illinois | Statement: [Chicago, isStateLargestCityOf, Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStateLargestCityOf Context triple: [Chicago, isStateLargestCityOf, Illinois]
-
A.
isLargestCityIn
chosen
Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
-
B.
isStateCapital
Indicates that a city serves as the official capital of a given state.
-
C.
isLargestTownOn
Indicates that one town is the largest (by size, population, or another defined measure) among all towns located on a specified geographic feature or area.
-
D.
capitalIsLargestCity
Indicates that the capital city of a region or country is also its most populous or largest city.
-
E.
areLargestCitiesOf
Indicates that the subject entities are the largest cities within the regions or countries specified by the object entities.
- 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_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 12:21 a.m.