Triple
T8599967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Simpson |
E203648
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Springfield |
E416020
|
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 | Statement: [Maggie Simpson, residence, Springfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Springfield Context triple: [Maggie Simpson, residence, 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
chosen
Springfield is the fictional American town that serves as the primary setting for the animated television series "The Simpsons."
-
E.
Springfield
Springfield is a small city in southeastern Georgia that serves as the administrative and cultural hub of Effingham County.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46d7c184819083236c75f9ccc9cf |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf889f91288190b052c4a41359d743 |
completed | April 3, 2026, 9:30 a.m. |
Created at: March 30, 2026, 6:24 p.m.