Triple
T12415208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Lawrence Dana |
E296618
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Springfield, Illinois |
E9948
|
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: Springfield, Illinois | Statement: [Susan Lawrence Dana, residence, Springfield, Illinois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Springfield, Illinois Context triple: [Susan Lawrence Dana, residence, Springfield, Illinois]
-
A.
Springfield, Illinois
chosen
Springfield, Illinois is the capital city of the U.S. state of Illinois, best known as the longtime home and final resting place of Abraham Lincoln.
-
B.
Springfield
Springfield is a small town in Otsego County, New York, known for its rural character and proximity to the northern end of Otsego Lake.
-
C.
Springfield
Springfield is a residential suburb in the Central Coast region of New South Wales, Australia, situated near the city of Gosford.
-
D.
Springfield
Springfield is a mid-sized American city in Ohio known for its industrial heritage, historic architecture, and cultural institutions.
-
E.
Springfield
Springfield is a town located in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6c4f6c8190bc99d3f7b64205c3 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f002b7c81909ee9d4ea3ea6d5f2 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.