Triple
T9865816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monroeville, Indiana |
E239828
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Monroeville |
E239828
|
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: Monroeville | Statement: [Monroeville, Indiana, hasName, Monroeville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monroeville Context triple: [Monroeville, Indiana, hasName, Monroeville]
-
A.
Monroeville
Monroeville is a suburban municipality in western Pennsylvania known for its shopping centers, residential communities, and proximity to Pittsburgh.
-
B.
Monroeville, Alabama
Monroeville, Alabama is a small Southern town best known as the childhood home of authors Truman Capote and Harper Lee, whose works it heavily inspired.
-
C.
Monroeville, Ohio
Monroeville, Ohio is a small village in northern Ohio known for its rural character and historic Midwestern community.
-
D.
Mayberry
Mayberry is the fictional small, rural North Carolina town known as the idyllic hometown setting of the classic American television series "The Andy Griffith Show."
-
E.
Monroeville, Indiana
chosen
Monroeville, Indiana is a small town in northeastern Indiana known for its rural character and close-knit community.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d091e48190b10463562d0dc461 |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e4544d008190a70ec0d490da8ef2 |
completed | April 5, 2026, 4:25 a.m. |
Created at: March 30, 2026, 8:36 p.m.