Triple
T7293889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emporia State University |
E164465
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Emporia |
E26460
|
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: Emporia | Statement: [Emporia State University, cityServed, Emporia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emporia Context triple: [Emporia State University, cityServed, Emporia]
-
A.
Emporia, Kansas
chosen
Emporia, Kansas is a small city in east-central Kansas known as a regional hub for education, commerce, and transportation on the Great Plains.
-
B.
Junction City
Junction City is a small rural town located in Talbot County, Georgia, in the United States.
-
C.
St. Paul, Kansas
St. Paul, Kansas is a small rural city in southeastern Kansas known for its strong Catholic heritage and historic mission roots.
-
D.
Falls City
Falls City is a small city in southeastern Nebraska that serves as the county seat of Richardson County and a regional hub near the Kansas and Missouri borders.
-
E.
Wichita
Wichita is a 1955 American Western film starring Joel McCrea as lawman Wyatt Earp in the turbulent Kansas cattle town.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be10c5b081908210981ce9c45bd9 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 3 p.m.