Triple
T20185226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas State Highway 177 |
E492836
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | K-177 |
—
|
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: K-177 | Statement: [Kansas State Highway 177, abbreviation, K-177]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K-177 Context triple: [Kansas State Highway 177, abbreviation, K-177]
-
A.
K-177
chosen
K-177 is a north–south state highway in Kansas that runs through the Flint Hills region, providing scenic access between the cities of El Dorado and Manhattan.
-
B.
K-18
K-18 is a state highway in Kansas that runs through the north-central part of the state, connecting several communities and major routes.
-
C.
K-15
K-15 is a state highway in Kansas that runs north–south, connecting several rural communities and regional routes across the state.
-
D.
K-11
K-11 is an independent drama film set in a Los Angeles jail unit for LGBTQ+ inmates, directed by Jules Mann-Stewart and known for its gritty, character-driven story.
-
E.
K-10
K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f2c03c819096336462f59dba91 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.