Triple
T10573297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US 23 |
E249546
|
entity |
| Predicate | overlapsWith |
P1867
|
FINISHED |
| Object |
US 223
US 223 is a short U.S. Highway in the Midwest that serves as a connector route between US 23 in Michigan and the Ohio Turnpike near Toledo.
|
E871635
|
NE FINISHED |
How this triple was built (4 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: US 223 | Statement: [US 23, overlapsWith, US 223]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US 223 Context triple: [US 23, overlapsWith, US 223]
-
A.
US 23
US 23 is a major north–south United States highway running from Florida to Michigan, serving as an important regional transportation corridor.
-
B.
US 231
US 231 is a major north–south United States highway running through several states in the eastern and central U.S., serving as an important regional transportation corridor.
-
C.
US 82
US 82 is a major east–west U.S. Highway running across the southern United States, passing through states such as New Mexico, Texas, Arkansas, Mississippi, Alabama, and Georgia.
-
D.
Highway 222
Highway 222 is a major road in Sweden that connects Stockholm with the islands of Värmdö Municipality in the Stockholm archipelago.
-
E.
US 202
US 202 is a U.S. highway running through the northeastern United States, connecting cities in states such as Delaware, Pennsylvania, New Jersey, New York, and beyond.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: US 223 Triple: [US 23, overlapsWith, US 223]
Generated description
US 223 is a short U.S. Highway in the Midwest that serves as a connector route between US 23 in Michigan and the Ohio Turnpike near Toledo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: US 223 Target entity description: US 223 is a short U.S. Highway in the Midwest that serves as a connector route between US 23 in Michigan and the Ohio Turnpike near Toledo.
-
A.
US 23
US 23 is a major north–south United States highway running from Florida to Michigan, serving as an important regional transportation corridor.
-
B.
US 231
US 231 is a major north–south United States highway running through several states in the eastern and central U.S., serving as an important regional transportation corridor.
-
C.
US 82
US 82 is a major east–west U.S. Highway running across the southern United States, passing through states such as New Mexico, Texas, Arkansas, Mississippi, Alabama, and Georgia.
-
D.
Highway 222
Highway 222 is a major road in Sweden that connects Stockholm with the islands of Värmdö Municipality in the Stockholm archipelago.
-
E.
US 202
US 202 is a U.S. highway running through the northeastern United States, connecting cities in states such as Delaware, Pennsylvania, New Jersey, New York, and beyond.
- F. None of above. chosen
Provenance (5 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274929cc81909a79d5e2049f7389 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b5d89748190bb398943e4a16e9b |
completed | April 10, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d94e1502108190a81bfa1d5a425e5a |
completed | April 10, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d94f0bb6888190b4038df6dcd96d33 |
completed | April 10, 2026, 7:27 p.m. |
Created at: April 6, 2026, 12:37 p.m.