Triple
T9216613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryville College |
E221256
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Maryville |
E47861
|
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: Maryville | Statement: [Maryville College, city, Maryville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maryville Context triple: [Maryville College, city, Maryville]
-
A.
Maryville
Maryville is a small city in northwest Missouri best known as the home of Northwest Missouri State University.
-
B.
Maryville, Tennessee
chosen
Maryville, Tennessee is a small city in Blount County known as a gateway to the Great Smoky Mountains and part of the Knoxville metropolitan area.
-
C.
Maryville, Illinois
Maryville, Illinois is a small suburban village in the Greater St. Louis metropolitan area known for its residential communities and proximity to major regional highways.
-
D.
Clarksville
Clarksville is a rapidly growing city in northern Tennessee known for its proximity to Fort Campbell and its role as a regional economic and cultural center.
-
E.
Clarksville
Clarksville is a town in southern Indiana known for its proximity to Louisville, Kentucky, and its historic and commercial significance along the Ohio River.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda096358819096d4e790da057512 |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c71e206c8190bcc0b7cee01fc765 |
completed | April 4, 2026, 8:09 a.m. |
Created at: March 30, 2026, 7:27 p.m.