Triple
T12586219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M-96 |
E300468
|
entity |
| Predicate | routeDesignation |
P1864
|
FINISHED |
| Object |
M-96
M-96 is a state highway in Michigan that runs east–west across the southwestern part of the state, connecting several communities and major routes.
|
E992636
|
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-96 | Statement: [M-96, routeDesignation, M-96]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-96 Context triple: [M-96, routeDesignation, M-96]
-
A.
M-91
M-91 is a state trunkline highway in Michigan that runs through Montcalm County, connecting local communities to the broader state road network.
-
B.
M9
M9 is a major motorway in Scotland that connects Edinburgh to Stirling and the Highlands, forming part of the country’s primary north–south road network.
-
C.
M-97
M-97 is a state highway in Michigan that serves as a key transportation route through the Detroit metropolitan area, including Warren.
-
D.
M-119
M-119 is a scenic state highway in northern Michigan renowned for its winding "Tunnel of Trees" route along the Lake Michigan shoreline.
-
E.
M-72
M-72 is a state highway in northern Michigan that serves as a key east–west route connecting Traverse City with several inland communities and recreational areas.
- 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-96 Triple: [M-96, routeDesignation, M-96]
Generated description
M-96 is a state highway in Michigan that runs east–west across the southwestern part of the state, connecting several communities and major routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M-96 Target entity description: M-96 is a state highway in Michigan that runs east–west across the southwestern part of the state, connecting several communities and major routes.
-
A.
M-91
M-91 is a state trunkline highway in Michigan that runs through Montcalm County, connecting local communities to the broader state road network.
-
B.
M9
M9 is a major motorway in Scotland that connects Edinburgh to Stirling and the Highlands, forming part of the country’s primary north–south road network.
-
C.
M-97
M-97 is a state highway in Michigan that serves as a key transportation route through the Detroit metropolitan area, including Warren.
-
D.
M-119
M-119 is a scenic state highway in northern Michigan renowned for its winding "Tunnel of Trees" route along the Lake Michigan shoreline.
-
E.
M-72
M-72 is a state highway in northern Michigan that serves as a key east–west route connecting Traverse City with several inland communities and recreational areas.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebed164819083fbdaa775a59cd4 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f66088890c8190b67a958d7f0822a6 |
completed | May 2, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6613ce1108190851cf8491fe666c8 |
completed | May 2, 2026, 8:40 p.m. |
Created at: April 9, 2026, 5:05 p.m.