Triple
T19672799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawnee Heights USD 450 |
E472376
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Tecumseh, Kansas |
—
|
NE NERFINISHED |
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: Tecumseh, Kansas | Statement: [Shawnee Heights USD 450, headquartersLocation, Tecumseh, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tecumseh, Kansas Context triple: [Shawnee Heights USD 450, headquartersLocation, Tecumseh, Kansas]
-
A.
Tecumseh, Kansas
chosen
Tecumseh, Kansas is a small unincorporated community in northeastern Kansas, located just east of Topeka along the Kansas River.
-
B.
Osawatomie, Kansas
Osawatomie, Kansas is a small historic city in eastern Kansas known for its role in the Bleeding Kansas era and its association with abolitionist John Brown.
-
C.
Seneca, Kansas
Seneca, Kansas is a small city in northeastern Kansas that serves as a local commercial and community hub for the surrounding rural region.
-
D.
De Soto, Kansas
De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
-
E.
Shawnee, Kansas
Shawnee, Kansas is a suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416d61008190af531c6d346d7da1 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.