Triple
T11538866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountlake Terrace |
E273618
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Brier
Brier is a small suburban city in Snohomish County, Washington, known for its residential character and proximity to the Seattle metropolitan area.
|
E931479
|
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: Brier | Statement: [Mountlake Terrace, adjacentTo, Brier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brier Context triple: [Mountlake Terrace, adjacentTo, Brier]
-
A.
Takoma
Takoma is the namesake area whose name was adopted by the city of Takoma Park, Maryland.
-
B.
Laurel
Laurel is a small city in Maryland known for its suburban character and location between Washington, D.C. and Baltimore.
-
C.
Laurel
Laurel is a feminine given name of English origin, derived from the laurel tree traditionally associated with honor and victory.
-
D.
Laurel
Laurel is a small city in southern Montana, known as a residential and industrial community near Billings and a gateway to outdoor recreation in the Yellowstone region.
-
E.
Baldwinne
Baldwinne is an alternative historical or variant spelling of the given name Baldwin, which is of Germanic origin and borne by several medieval European nobles and rulers.
- 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: Brier Triple: [Mountlake Terrace, adjacentTo, Brier]
Generated description
Brier is a small suburban city in Snohomish County, Washington, known for its residential character and proximity to the Seattle metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brier Target entity description: Brier is a small suburban city in Snohomish County, Washington, known for its residential character and proximity to the Seattle metropolitan area.
-
A.
Takoma
Takoma is the namesake area whose name was adopted by the city of Takoma Park, Maryland.
-
B.
Laurel
Laurel is a small city in Maryland known for its suburban character and location between Washington, D.C. and Baltimore.
-
C.
Laurel
Laurel is a feminine given name of English origin, derived from the laurel tree traditionally associated with honor and victory.
-
D.
Laurel
Laurel is a small city in southern Montana, known as a residential and industrial community near Billings and a gateway to outdoor recreation in the Yellowstone region.
-
E.
Baldwinne
Baldwinne is an alternative historical or variant spelling of the given name Baldwin, which is of Germanic origin and borne by several medieval European nobles and rulers.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886deed5c81908e5c38156064f882 |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6859b14e08190b8173a4b5dc8c2c5 |
completed | April 20, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_69e68fd8210c8190a7b0bbd8a50ff6b1 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e69f12cfcc8190a06e0922c9faa49e |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:37 p.m.