Triple
T10151859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Route 119 (Alabama) |
E232662
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SR 119
SR 119 is a state highway in Alabama that serves as a regional connector route through several suburban and rural communities.
|
E843132
|
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 119 | Statement: [State Route 119 (Alabama), abbreviation, SR 119]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 119 Context triple: [State Route 119 (Alabama), abbreviation, SR 119]
-
A.
SR 111
SR 111 is a state highway in Maine that runs east–west, connecting the city of Biddeford to the town of Alfred and serving as an important regional route in York County.
-
B.
SR 117
SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and regional routes.
-
C.
SR 109
SR 109 is a state highway in Maine that connects the coastal city of Wells with inland communities, serving as a regional route for local and through traffic.
-
D.
SR 113
SR 113 is a state highway in northern Ohio that runs east–west through several counties, connecting rural areas with small towns and cities.
-
E.
SR 112
SR 112 is a state highway in Maine that serves as a regional connector route between several communities in the southern 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 119 Triple: [State Route 119 (Alabama), abbreviation, SR 119]
Generated description
SR 119 is a state highway in Alabama that serves as a regional connector route through several suburban and rural communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR 119 Target entity description: SR 119 is a state highway in Alabama that serves as a regional connector route through several suburban and rural communities.
-
A.
SR 111
SR 111 is a state highway in Maine that runs east–west, connecting the city of Biddeford to the town of Alfred and serving as an important regional route in York County.
-
B.
SR 117
SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and regional routes.
-
C.
SR 109
SR 109 is a state highway in Maine that connects the coastal city of Wells with inland communities, serving as a regional route for local and through traffic.
-
D.
SR 113
SR 113 is a state highway in northern Ohio that runs east–west through several counties, connecting rural areas with small towns and cities.
-
E.
SR 112
SR 112 is a state highway in Maine that serves as a regional connector route between several communities in the southern part of the state.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec361c7c8190b8fd841d728d5bbe |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e640d1e0819094d30556ccb958b0 |
completed | April 5, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69d2e750ceb08190bcb2d1b4c248b30d |
completed | April 5, 2026, 10:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e7c486ec819085ad0019ab12de2a |
completed | April 5, 2026, 10:52 p.m. |
Created at: March 30, 2026, 9:08 p.m.