Triple
T6274848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Effingham County |
E140629
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Springfield
Springfield is a small city that serves as the county seat and a local governmental and commercial center in Effingham County, Georgia.
|
E579525
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Effingham County, hasCity, Springfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Springfield Context triple: [Effingham County, hasCity, Springfield]
-
A.
Springfield
Springfield is a populous suburban community in Northern Virginia known for its major transportation junctions, shopping centers, and proximity to Washington, D.C.
-
B.
Springfield
Springfield is a small rural town located in the state of Kansas in the United States.
-
C.
Springfield
Springfield is a town located in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
-
D.
Springfield
Springfield is the fictional American town that serves as the primary setting for the animated television series "The Simpsons."
-
E.
Springfield
Springfield is a mid-sized American city in Ohio known for its industrial heritage, historic architecture, and cultural institutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Springfield Triple: [Effingham County, hasCity, Springfield]
Generated description
Springfield is a small city that serves as the county seat and a local governmental and commercial center in Effingham County, Georgia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Springfield Target entity description: Springfield is a small city that serves as the county seat and a local governmental and commercial center in Effingham County, Georgia.
-
A.
Springfield
chosen
Springfield is a small city in southeastern Georgia that serves as the administrative and cultural hub of Effingham County.
-
B.
Springfield
Springfield is a small rural town located in the state of Kansas in the United States.
-
C.
Springfield
Springfield is a town located in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
-
D.
Springfield
Springfield is the capital city of the U.S. state of Illinois and a major center of its government and political activity.
-
E.
Springfield
Springfield is a populous suburban community in Northern Virginia known for its major transportation junctions, shopping centers, and proximity to Washington, D.C.
- F. None of above.
Provenance (5 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063c0629c8190805ddf1a604e9ca4 |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c519404dbc8190850f7874d2be51b5 |
completed | March 26, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c51dfe50c4819084c43ca4d6cced35 |
completed | March 26, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c58d97bf808190a2f8f101cf46a16b |
completed | March 26, 2026, 7:48 p.m. |
Created at: March 22, 2026, 4:25 p.m.