Triple
T15929851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington State Route 171 |
E386294
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SR 171
SR 171 is a short state highway in central Washington that connects the city of Moses Lake to nearby rural areas and other regional routes.
|
E1190117
|
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 171 | Statement: [Washington State Route 171, abbreviation, SR 171]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 171 Context triple: [Washington State Route 171, abbreviation, SR 171]
-
A.
SR 171
SR 171 is a state highway in Maine that serves as a local connector route within the state's road network.
-
B.
SR 170
SR 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
-
C.
SR 170
SR 170 is a state highway in Tennessee that serves as a regional connector route through parts of the Knoxville metropolitan area.
-
D.
SR 170
SR 170 is a California state highway in the Los Angeles area, commonly known as the Hollywood Freeway and the northern segment of the State Route 170 corridor.
-
E.
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.
- 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 171 Triple: [Washington State Route 171, abbreviation, SR 171]
Generated description
SR 171 is a short state highway in central Washington that connects the city of Moses Lake to nearby rural areas and other regional routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR 171 Target entity description: SR 171 is a short state highway in central Washington that connects the city of Moses Lake to nearby rural areas and other regional routes.
-
A.
SR 171
SR 171 is a state highway in Maine that serves as a local connector route within the state's road network.
-
B.
SR 170
SR 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
-
C.
SR 170
SR 170 is a state highway in Tennessee that serves as a regional connector route through parts of the Knoxville metropolitan area.
-
D.
SR 170
SR 170 is a California state highway in the Los Angeles area, commonly known as the Hollywood Freeway and the northern segment of the State Route 170 corridor.
-
E.
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.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a45d088190b365f05161e7d409 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf14ab088190b1d2f1f6b18bf85d |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffcfda86788190a62d0ebd3d6d78a0 |
completed | May 10, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd3663d2c81908b16dff405f26360 |
completed | May 10, 2026, 12:37 a.m. |
Created at: April 10, 2026, 4:52 a.m.