Triple
T7139980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Illinois |
E166416
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | DeKalb |
E102311
|
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: DeKalb | Statement: [Northern Illinois, hasCity, DeKalb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeKalb Context triple: [Northern Illinois, hasCity, DeKalb]
-
A.
DeKalb
chosen
DeKalb is a city in northern Illinois known for hosting Northern Illinois University and having historical ties to agriculture and barbed wire manufacturing.
-
B.
Schaumburg
Schaumburg is a historic German county and region that once formed part of the territorial holdings of various German princes and states.
-
C.
Woodridge
Woodridge is a residential neighborhood in Northeast Washington, D.C., known for its tree-lined streets and proximity to the Brookland area.
-
D.
Nashoba Valley
Nashoba Valley is a region in north-central Massachusetts known for its rolling hills, outdoor recreation areas, and small New England towns.
-
E.
Decatur
Decatur is a historic, densely populated small city in DeKalb County, Georgia, known for its walkable downtown, vibrant arts and dining scene, and close proximity to Atlanta.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7775e408190b880abde0a3f8d12 |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db01750c8190b8b147261be7d253 |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 27, 2026, 2:45 p.m.