Triple
T6118937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor, Michigan |
E136431
|
entity |
| Predicate | majorHighway |
P385
|
FINISHED |
| Object |
M-85
M-85 is a state trunkline highway in Michigan that runs through the Downriver suburbs of Detroit, including the city of Taylor.
|
E569961
|
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: M-85 | Statement: [Taylor, Michigan, majorHighway, M-85]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-85 Context triple: [Taylor, Michigan, majorHighway, M-85]
-
A.
M-5
M-5 is a state highway in southeastern Michigan that serves as a key commuter route connecting Novi and surrounding suburbs to the Detroit metropolitan area.
-
B.
M-50
M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
-
C.
M75
M75 is a densely concentrated globular star cluster in the constellation Sagittarius, cataloged by Charles Messier.
-
D.
M-52
M-52 is a state highway in Michigan that runs north–south through several counties, serving as an important regional route for local and through traffic.
-
E.
M-153
M-153 is a state trunkline highway in Michigan, commonly known as Ford Road, that serves as a major east–west arterial route through the Detroit metropolitan area.
- 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: M-85 Triple: [Taylor, Michigan, majorHighway, M-85]
Generated description
M-85 is a state trunkline highway in Michigan that runs through the Downriver suburbs of Detroit, including the city of Taylor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M-85 Target entity description: M-85 is a state trunkline highway in Michigan that runs through the Downriver suburbs of Detroit, including the city of Taylor.
-
A.
M-5
M-5 is a state highway in southeastern Michigan that serves as a key commuter route connecting Novi and surrounding suburbs to the Detroit metropolitan area.
-
B.
M-50
M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
-
C.
M75
M75 is a densely concentrated globular star cluster in the constellation Sagittarius, cataloged by Charles Messier.
-
D.
M-52
M-52 is a state highway in Michigan that runs north–south through several counties, serving as an important regional route for local and through traffic.
-
E.
M-153
M-153 is a state trunkline highway in Michigan, commonly known as Ford Road, that serves as a major east–west arterial route through the Detroit metropolitan area.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bee12488190ab217e8956f2f1f3 |
completed | March 22, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1257153748190947cd80589620f12 |
completed | March 23, 2026, 11:35 a.m. |
| NEDg | Description generation | batch_69c129464108819086b1a3991ef4c9e1 |
completed | March 23, 2026, 11:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c129d7cd348190963e1a266d5e88ae |
completed | March 23, 2026, 11:53 a.m. |
Created at: March 22, 2026, 4:14 p.m.