Triple
T18981204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Somerset |
E464427
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Somerset
Somerset is a city in Pulaski County, Kentucky, known as a regional hub for commerce, healthcare, and recreation near Lake Cumberland.
|
E1353515
|
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: Somerset | Statement: [City of Somerset, hasName, Somerset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somerset Context triple: [City of Somerset, hasName, Somerset]
-
A.
Somerset
Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
-
B.
Somerset
Somerset is a coastal town in Bristol County, Massachusetts, situated along the Taunton River opposite the city of Fall River.
-
C.
Somerset
Somerset is a borough in southwestern Pennsylvania that serves as the county seat of Somerset County and a gateway to the scenic Laurel Highlands region.
-
D.
Dorset
Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
-
E.
Herefordshire
Herefordshire is a predominantly rural county in the West Midlands of England, known for its agriculture, rolling countryside, and the cathedral city of Hereford.
- 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: Somerset Triple: [City of Somerset, hasName, Somerset]
Generated description
Somerset is a city in Pulaski County, Kentucky, known as a regional hub for commerce, healthcare, and recreation near Lake Cumberland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Somerset Target entity description: Somerset is a city in Pulaski County, Kentucky, known as a regional hub for commerce, healthcare, and recreation near Lake Cumberland.
-
A.
Somerset
Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
-
B.
Somerset
Somerset is a coastal town in Bristol County, Massachusetts, situated along the Taunton River opposite the city of Fall River.
-
C.
Somerset
Somerset is a borough in southwestern Pennsylvania that serves as the county seat of Somerset County and a gateway to the scenic Laurel Highlands region.
-
D.
Dorset
Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
-
E.
Herefordshire
Herefordshire is a predominantly rural county in the West Midlands of England, known for its agriculture, rolling countryside, and the cathedral city of Hereford.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65c11808190810c79c91799dec0 |
completed | April 20, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b4514260819093981abc0c075a3c |
completed | May 14, 2026, 11:38 a.m. |
| NEDg | Description generation | batch_6a05b5ef2cf081909c448d303a983a77 |
completed | May 14, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b65ab2e0819099c5fbb2d78a6ee0 |
completed | May 14, 2026, 11:47 a.m. |
Created at: April 10, 2026, 12:01 p.m.