Triple
T13335603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 175 |
E317683
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SR 175
SR 175 is a state highway in Maine that serves as a regional connector route through Hancock County’s coastal communities.
|
E1043973
|
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 175 | Statement: [Maine State Route 175, abbreviation, SR 175]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 175 Context triple: [Maine State Route 175, abbreviation, SR 175]
-
A.
SR 170
SR 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
-
B.
SR 170
SR 170 is a state highway in Tennessee that serves as a regional connector route through parts of the Knoxville metropolitan area.
-
C.
SR 172
SR 172 is a state highway in Maine that connects the coastal communities of Blue Hill and Ellsworth.
-
D.
SR 17
SR 17 is a heavily traveled and winding state highway in California that connects San Jose in Silicon Valley with the city of Santa Cruz across the Santa Cruz Mountains.
-
E.
SR 117
SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and regional routes.
- 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 175 Triple: [Maine State Route 175, abbreviation, SR 175]
Generated description
SR 175 is a state highway in Maine that serves as a regional connector route through Hancock County’s coastal communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR 175 Target entity description: SR 175 is a state highway in Maine that serves as a regional connector route through Hancock County’s coastal communities.
-
A.
SR 170
SR 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
-
B.
SR 170
SR 170 is a state highway in Tennessee that serves as a regional connector route through parts of the Knoxville metropolitan area.
-
C.
SR 172
SR 172 is a state highway in Maine that connects the coastal communities of Blue Hill and Ellsworth.
-
D.
SR 17
SR 17 is a heavily traveled and winding state highway in California that connects San Jose in Silicon Valley with the city of Santa Cruz across the Santa Cruz Mountains.
-
E.
SR 117
SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and regional routes.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cff44e08190b9583baf0b626e42 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7546fbd1881909d2dda1edb63df2f |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f754ff38508190bec5ad5200b21613 |
completed | May 3, 2026, 2 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75566599c8190a9a8185124d4cb73 |
completed | May 3, 2026, 2:02 p.m. |
Created at: April 9, 2026, 9:30 p.m.