Triple
T6538302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agnes Scott College |
E168220
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Decatur |
E487870
|
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: Decatur | Statement: [Agnes Scott College, city, Decatur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Decatur Context triple: [Agnes Scott College, city, Decatur]
-
A.
Decatur
Decatur is a city in northern Alabama known for its location along the Tennessee River and its role as an industrial and transportation hub.
-
B.
Decatur
chosen
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.
-
C.
Decatur, Illinois
Decatur, Illinois is a mid-sized industrial and agricultural city in central Illinois known historically for manufacturing, agribusiness, and its location along Lake Decatur.
-
D.
DeKalb
DeKalb is a city in northern Illinois known for hosting Northern Illinois University and having historical ties to agriculture and barbed wire manufacturing.
-
E.
de Kalb
De Kalb is a German-born French military officer who served as a major general in the Continental Army during the American Revolutionary War and became a symbol of foreign support for the American cause.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add4b7f881909e485325c353f51c |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5389fac8190bbad946de79d6086 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:49 p.m.