Triple
T7572179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Road 200 |
E179269
|
entity |
| Predicate | routeDesignation |
P1864
|
FINISHED |
| Object |
SR 200
SR 200 is a state highway in Florida that runs across the northeastern part of the state, connecting US 41 in Hernando to Fernandina Beach near the Atlantic coast.
|
E673729
|
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: SR 200 | Statement: [State Road 200, routeDesignation, SR 200]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 200 Context triple: [State Road 200, routeDesignation, SR 200]
-
A.
SR 400
SR 400 is a major north–south highway in Georgia that serves as a key commuter and traffic corridor through the Atlanta metropolitan area.
-
B.
SR 202
SR 202 is a state highway loop route commonly referred to as Loop 202.
-
C.
SR 100
SR 100 is a state highway in Maine that runs generally parallel to Interstate 95, connecting several communities between Portland and Bangor.
-
D.
SR 100
SR 100 is a state highway in Georgia that runs generally north–south, connecting several small towns and rural areas in the western part of the state.
-
E.
S-200
The S-200 is a long-range, Soviet-era surface-to-air missile system designed primarily to engage high-altitude aircraft and strategic targets.
- 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: SR 200 Triple: [State Road 200, routeDesignation, SR 200]
Generated description
SR 200 is a state highway in Florida that runs across the northeastern part of the state, connecting US 41 in Hernando to Fernandina Beach near the Atlantic coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR 200 Target entity description: SR 200 is a state highway in Florida that runs across the northeastern part of the state, connecting US 41 in Hernando to Fernandina Beach near the Atlantic coast.
-
A.
SR 400
SR 400 is a major north–south highway in Georgia that serves as a key commuter and traffic corridor through the Atlanta metropolitan area.
-
B.
SR 202
SR 202 is a state highway loop route commonly referred to as Loop 202.
-
C.
SR 100
SR 100 is a state highway in Maine that runs generally parallel to Interstate 95, connecting several communities between Portland and Bangor.
-
D.
SR 100
SR 100 is a state highway in Georgia that runs generally north–south, connecting several small towns and rural areas in the western part of the state.
-
E.
S-200
The S-200 is a long-range, Soviet-era surface-to-air missile system designed primarily to engage high-altitude aircraft and strategic targets.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f921b458819092e565a4d099bbaf |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856e7c5b48190b6f53f8d14ea753d |
completed | March 28, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69c858aea4fc81908be95d0d4e3f1072 |
completed | March 28, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c85919f85081908558f8e8d4b9d057 |
completed | March 28, 2026, 10:41 p.m. |
Created at: March 27, 2026, 3:51 p.m.