Triple
T21352666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 32 |
E526528
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SR 32
SR 32 is a state highway in Maine that runs through rural communities, connecting inland towns with the state's coastal region.
|
E1487336
|
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 32 | Statement: [Maine State Route 32, abbreviation, SR 32]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 32 Context triple: [Maine State Route 32, abbreviation, SR 32]
-
A.
SR 32
SR 32 is a major east–west state highway in Ohio that spans much of the southern part of the state, connecting Cincinnati to the Ohio River valley and Appalachian regions.
-
B.
SR 3
SR 3 is the internal designation for a major north–south state highway corridor in Alabama that largely follows the route of U.S. Route 31.
-
C.
SR 3
SR 3 is a state highway in Washington that runs along the Kitsap Peninsula, connecting the Bremerton area with U.S. Route 101 near Shelton.
-
D.
SR 3
SR 3 is a state highway in Florida that primarily serves as the main access route to the Kennedy Space Center and Merritt Island.
-
E.
SR 3
SR 3 is a primary north–south state highway in Indiana that connects several cities and rural areas across the eastern part of the state.
- 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 32 Triple: [Maine State Route 32, abbreviation, SR 32]
Generated description
SR 32 is a state highway in Maine that runs through rural communities, connecting inland towns with the state's coastal region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR 32 Target entity description: SR 32 is a state highway in Maine that runs through rural communities, connecting inland towns with the state's coastal region.
-
A.
SR 32
SR 32 is a major east–west state highway in Ohio that spans much of the southern part of the state, connecting Cincinnati to the Ohio River valley and Appalachian regions.
-
B.
SR 3
SR 3 is the internal designation for a major north–south state highway corridor in Alabama that largely follows the route of U.S. Route 31.
-
C.
SR 3
SR 3 is a state highway in Washington that runs along the Kitsap Peninsula, connecting the Bremerton area with U.S. Route 101 near Shelton.
-
D.
SR 3
SR 3 is a primary north–south state highway in Indiana that connects several cities and rural areas across the eastern part of the state.
-
E.
SR 3
SR 3 is a state highway in Florida that primarily serves as the main access route to the Kennedy Space Center and Merritt Island.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad34a1d48190b14fa099968faf7c |
completed | April 22, 2026, 11:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e12440b08190b50913782a47e144 |
completed | May 17, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a09e1d4a6bc8190909ca0e358e35c85 |
completed | May 17, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e22dcac081909a02bbb3f74f42a9 |
completed | May 17, 2026, 3:43 p.m. |
Created at: April 16, 2026, 5:05 p.m.