Triple
T7535165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas Highway 99 |
E178130
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Alma, Kansas |
E524769
|
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: Alma, Kansas | Statement: [Kansas Highway 99, passesThrough, Alma, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alma, Kansas Context triple: [Kansas Highway 99, passesThrough, Alma, Kansas]
-
A.
Alma, Kansas
chosen
Alma, Kansas is a small city in Wabaunsee County that serves as the county seat and lies within the broader Manhattan, Kansas region.
-
B.
Altamont, Kansas
Altamont, Kansas is a small rural city in Labette County known for its agricultural surroundings and location in the southeastern part of the state.
-
C.
Allen, Kansas
Allen, Kansas is a small rural city in eastern Kansas known for its close-knit community and agricultural surroundings.
-
D.
Holcomb, Kansas
Holcomb, Kansas is a small rural village in western Kansas best known as the real-life setting of Truman Capote’s true-crime book "In Cold Blood."
-
E.
Emmett, Kansas
Emmett, Kansas is a small rural community in northeastern Kansas that functions as part of the broader Manhattan regional 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84c13208190971096a0b81b0ff2 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c97ca3d5e0819097e904184202b75f |
completed | March 29, 2026, 7:25 p.m. |
Created at: March 27, 2026, 3:47 p.m.