Triple
T16309374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morehead State University |
E396007
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Morehead |
E396006
|
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: Morehead | Statement: [Morehead State University, cityServed, Morehead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morehead Context triple: [Morehead State University, cityServed, Morehead]
-
A.
Morehead, Kentucky
chosen
Morehead, Kentucky is a small city in Rowan County known as the home of Morehead State University and a gateway to the scenic Appalachian region.
-
B.
Berea, Kentucky
Berea, Kentucky is a small city in central Kentucky best known for Berea College and its vibrant Appalachian arts and crafts community.
-
C.
Nelsonville
Nelsonville is a small unincorporated community located in Marion County, Missouri, in the United States.
-
D.
Paducah
Paducah is a small riverfront city in western Kentucky known for its vibrant arts scene, historic downtown, and role as a regional cultural hub.
-
E.
Ashland
Ashland is a Chicago 'L' rapid transit station on the CTA's Pink Line serving the city's Near West Side.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d9557c81909203cd47aebf0f44 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260151908190b83f700a1c7c6419 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.