Triple
T2826652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whatcom County |
E54938
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Blaine
Blaine is a small coastal city in northwestern Washington State, located near the Canadian border.
|
E301529
|
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: Blaine | Statement: [Whatcom County, containsSettlement, Blaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blaine Context triple: [Whatcom County, containsSettlement, Blaine]
-
A.
Leland
Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
-
B.
Addison
Addison is a small, business-focused town in the Dallas–Fort Worth metropolitan area known for its dense concentration of restaurants, corporate offices, and frequent special events.
-
C.
Dawson
Dawson is a common English-language surname of Anglo-Saxon origin, meaning "son of David."
-
D.
Everette
Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
E.
Tracy
Tracy is a given name commonly used for both males and females in English-speaking countries.
- 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: Blaine Triple: [Whatcom County, containsSettlement, Blaine]
Generated description
Blaine is a small coastal city in northwestern Washington State, located near the Canadian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blaine Target entity description: Blaine is a small coastal city in northwestern Washington State, located near the Canadian border.
-
A.
Leland
Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
-
B.
Addison
Addison is a small, business-focused town in the Dallas–Fort Worth metropolitan area known for its dense concentration of restaurants, corporate offices, and frequent special events.
-
C.
Dawson
Dawson is a common English-language surname of Anglo-Saxon origin, meaning "son of David."
-
D.
Everette
Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
E.
Tracy
Tracy is a given name commonly used for both males and females in English-speaking countries.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde94ba848190b2c990936e07e6bb |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb20c508190ba87e102ba250a00 |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf8b032c8190b5fe0777bb0283ee |
completed | March 10, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcfe8a140819095daa37d539e4c72 |
completed | March 10, 2026, 8:01 a.m. |
Created at: March 6, 2026, 9:59 p.m.