Triple
T21831406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama State Route 23 |
E539002
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SR 23
SR 23 is a state highway in Alabama that serves as a regional connector route within the state's road network.
|
E1504265
|
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 23 | Statement: [Alabama State Route 23, abbreviation, SR 23]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 23 Context triple: [Alabama State Route 23, abbreviation, SR 23]
-
A.
SR 23
SR 23 is a California state highway that runs through Ventura and Los Angeles counties, connecting the Pacific Coast Highway near Malibu to U.S. Route 101 and State Route 118.
-
B.
SR 230
SR 230 is a state highway in Maine that serves as a short connector route in the coastal Downeast region.
-
C.
SR 230
SR 230 is a primary state highway in Virginia that connects U.S. Route 29 near Madison to U.S. Route 33 near Stanardsville, serving rural communities in Madison and Greene counties.
-
D.
SR 233
SR 233 is a state highway in Maine that serves as a connector route on Mount Desert Island, providing access between Bar Harbor and other parts of the island.
-
E.
SR 238
SR 238 is a state highway in California that runs through the East Bay region, connecting the cities of Fremont, Union City, Hayward, and San Leandro.
- 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 23 Triple: [Alabama State Route 23, abbreviation, SR 23]
Generated description
SR 23 is a state highway in Alabama that serves as a regional connector route within the state's road network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR 23 Target entity description: SR 23 is a state highway in Alabama that serves as a regional connector route within the state's road network.
-
A.
SR 23
SR 23 is a California state highway that runs through Ventura and Los Angeles counties, connecting the Pacific Coast Highway near Malibu to U.S. Route 101 and State Route 118.
-
B.
SR 230
SR 230 is a state highway in Maine that serves as a short connector route in the coastal Downeast region.
-
C.
SR 230
SR 230 is a primary state highway in Virginia that connects U.S. Route 29 near Madison to U.S. Route 33 near Stanardsville, serving rural communities in Madison and Greene counties.
-
D.
SR 233
SR 233 is a state highway in Maine that serves as a connector route on Mount Desert Island, providing access between Bar Harbor and other parts of the island.
-
E.
SR 238
SR 238 is a state highway in California that runs through the East Bay region, connecting the cities of Fremont, Union City, Hayward, and San Leandro.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091362d9081909f00ad7a2806d5cb |
completed | April 28, 2026, 10:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a45eafcc08190bc104ab80428a497 |
completed | May 17, 2026, 10:49 p.m. |
| NEDg | Description generation | batch_6a0a46c771348190aa1fa8b3b8fcac3f |
completed | May 17, 2026, 10:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a47bf44c881908504b2537649adf6 |
completed | May 17, 2026, 10:57 p.m. |
Created at: April 16, 2026, 6:55 p.m.