Triple
T11952211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra County |
E284452
|
entity |
| Predicate | hasLargestSettlement |
P235
|
FINISHED |
| Object |
Loyalton
Loyalton is a small city in northeastern California that serves as the primary population center of rural Sierra County.
|
E956854
|
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: Loyalton | Statement: [Sierra County, hasLargestSettlement, Loyalton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loyalton Context triple: [Sierra County, hasLargestSettlement, Loyalton]
-
A.
Tenneville
Tenneville is a rural municipality in the Ardennes region of southern Belgium, known for its forests and small villages.
-
B.
Craryville
Craryville is a small hamlet in Columbia County, New York, known as one of the communities within the town of Copake.
-
C.
Lockington
Lockington is a small rural town in northern Victoria, Australia, known for its agricultural community and historic railway heritage.
-
D.
Talmont
Talmont is a historic coastal village in southwestern France, known for its medieval architecture and scenic position overlooking the Gironde estuary.
-
E.
Laurelton
Laurelton is a primarily residential neighborhood in the southeastern part of the New York City borough of Queens, known for its suburban-style homes and tree-lined streets.
- 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: Loyalton Triple: [Sierra County, hasLargestSettlement, Loyalton]
Generated description
Loyalton is a small city in northeastern California that serves as the primary population center of rural Sierra County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loyalton Target entity description: Loyalton is a small city in northeastern California that serves as the primary population center of rural Sierra County.
-
A.
Tenneville
Tenneville is a rural municipality in the Ardennes region of southern Belgium, known for its forests and small villages.
-
B.
Craryville
Craryville is a small hamlet in Columbia County, New York, known as one of the communities within the town of Copake.
-
C.
Lockington
Lockington is a small rural town in northern Victoria, Australia, known for its agricultural community and historic railway heritage.
-
D.
Talmont
Talmont is a historic coastal village in southwestern France, known for its medieval architecture and scenic position overlooking the Gironde estuary.
-
E.
Laurelton
Laurelton is a primarily residential neighborhood in the southeastern part of the New York City borough of Queens, known for its suburban-style homes and tree-lined streets.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4590584608190bc00840c43f115a0 |
completed | May 1, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69f45f89d5b08190a87312d96e61898a |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f464a5191881908e291943996169cb |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 8, 2026, 9:45 p.m.