Triple
T6776363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mules |
E155165
|
entity |
| Predicate | campus |
P269
|
FINISHED |
| Object | Warrensburg, Missouri |
E296730
|
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: Warrensburg, Missouri | Statement: [Mules, campus, Warrensburg, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warrensburg, Missouri Context triple: [Mules, campus, Warrensburg, Missouri]
-
A.
Warrensburg, Missouri
chosen
Warrensburg, Missouri is a small central Missouri city best known as the home of the University of Central Missouri and its college-town community.
-
B.
Plattsburg, Missouri
Plattsburg, Missouri is a small historic city in northwestern Missouri that serves as the administrative and commercial hub of Clinton County.
-
C.
Harrisonville, Missouri
Harrisonville, Missouri is a small city in Cass County that serves as a suburban community within the greater Kansas City metropolitan area.
-
D.
Waynesville, Missouri
Waynesville, Missouri is a small city in the Missouri Ozarks that serves as a gateway community and service hub for the nearby U.S. Army installation at Fort Leonard Wood.
-
E.
Buckner, Missouri
Buckner, Missouri is a small city located in eastern Jackson County within the Kansas City metropolitan area.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24f77c88190be21cf4ef132aa31 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748a839648190a2d6875a8465579b |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:13 p.m.