Triple
T5047114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky Route 210 |
E113692
|
entity |
| Predicate | routeDesignation |
P1864
|
FINISHED |
| Object | KY 210 |
E489275
|
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: KY 210 | Statement: [Kentucky Route 210, routeDesignation, KY 210]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KY 210 Context triple: [Kentucky Route 210, routeDesignation, KY 210]
-
A.
KY 210
chosen
KY 210 is a state highway in Kentucky that connects the city of Elizabethtown with the Campbellsville area, serving as a regional route through central Kentucky.
-
B.
KY 84
KY 84 is a state highway in Kentucky that serves as a regional connector route through several central Kentucky counties.
-
C.
KG 200
KG 200 is a historical non-fiction book by John Clive that examines the secret operations of a special Luftwaffe unit during World War II.
-
D.
K1
K1, also known as Masherbrum, is a prominent 7,821-meter peak in the Karakoram range of Pakistan and one of the world’s highest mountains.
-
E.
KYA
KYA is the IATA airport code for Konya Airport, a public and military airport serving the city of Konya in Turkey.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd740002b48190bc7aa176d734c589 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea47e5ba0819088217a9ad3ce2b0a |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:37 p.m.