Triple
T8617888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Road A1A |
E204086
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SR A1A
SR A1A is a scenic Florida state highway that runs along much of the Atlantic coastline, serving as a major coastal route and popular tourist drive.
|
E746731
|
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 A1A | Statement: [State Road A1A, abbreviation, SR A1A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR A1A Context triple: [State Road A1A, abbreviation, SR A1A]
-
A.
SR 100
SR 100 is a state highway in Maine that runs generally parallel to Interstate 95, connecting several communities between Portland and Bangor.
-
B.
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.
-
C.
SR 100
SR 100 is a state highway designation commonly used in the United States for a numbered route within a state's road network.
-
D.
SR 4
SR 4 is a primary north–south state highway in Georgia that largely parallels U.S. Route 1 and connects several communities across the eastern part of the state.
-
E.
SR 4
SR 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic areas, small communities, and nearby national monuments.
- 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 A1A Triple: [State Road A1A, abbreviation, SR A1A]
Generated description
SR A1A is a scenic Florida state highway that runs along much of the Atlantic coastline, serving as a major coastal route and popular tourist drive.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR A1A Target entity description: SR A1A is a scenic Florida state highway that runs along much of the Atlantic coastline, serving as a major coastal route and popular tourist drive.
-
A.
SR 100
SR 100 is a state highway in Maine that runs generally parallel to Interstate 95, connecting several communities between Portland and Bangor.
-
B.
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.
-
C.
SR 100
SR 100 is a state highway designation commonly used in the United States for a numbered route within a state's road network.
-
D.
SR 4
SR 4 is a primary north–south state highway in Georgia that largely parallels U.S. Route 1 and connects several communities across the eastern part of the state.
-
E.
SR 4
SR 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic areas, small communities, and nearby national monuments.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4711c7748190af26ff5a78ef66a2 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbcb910881909088da53c6e31ae3 |
completed | April 2, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69cebcc22d208190801b4ec58614dfcb |
completed | April 2, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebdf3f288819088d83165c741d092 |
completed | April 2, 2026, 7:05 p.m. |
Created at: March 30, 2026, 6:26 p.m.