Triple
T2320290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Michigan |
E51163
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Grayling
Grayling is a small city in northern Michigan known as a gateway to outdoor recreation in the surrounding forests, rivers, and lakes.
|
E256122
|
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: Grayling | Statement: [Northern Michigan, hasPart, Grayling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grayling Context triple: [Northern Michigan, hasPart, Grayling]
-
A.
Graveley
Graveley is a small village and civil parish in the county of Hertfordshire in England.
-
B.
Willow Bay
Willow Bay is an American television journalist, author, and former model who has worked as a news anchor for major networks and later became dean of the USC Annenberg School for Communication and Journalism.
-
C.
Corrsin
Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
-
D.
Kinsealy
Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
-
E.
Mariefred
Mariefred is a small historic town in Södermanland County, Sweden, known for the nearby Gripsholm Castle and its picturesque lakeside setting.
- 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: Grayling Triple: [Northern Michigan, hasPart, Grayling]
Generated description
Grayling is a small city in northern Michigan known as a gateway to outdoor recreation in the surrounding forests, rivers, and lakes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grayling Target entity description: Grayling is a small city in northern Michigan known as a gateway to outdoor recreation in the surrounding forests, rivers, and lakes.
-
A.
Graveley
Graveley is a small village and civil parish in the county of Hertfordshire in England.
-
B.
Willow Bay
Willow Bay is an American television journalist, author, and former model who has worked as a news anchor for major networks and later became dean of the USC Annenberg School for Communication and Journalism.
-
C.
Corrsin
Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
-
D.
Kinsealy
Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
-
E.
Mariefred
Mariefred is a small historic town in Södermanland County, Sweden, known for the nearby Gripsholm Castle and its picturesque lakeside setting.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc632474c8190972b4611a3a4ff8f |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae896911908190b53954dbf854cc18 |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8d2dcc8081908d4274b2287ff2b8 |
completed | March 9, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8d786a648190acf0a14e0d4a120c |
completed | March 9, 2026, 9:06 a.m. |
Created at: March 4, 2026, 7:49 p.m.