Triple
T11223143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bucoda, Washington |
E265622
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object |
South Bay
South Bay was the historical name of the small town now known as Bucoda in Washington State.
|
E913903
|
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: South Bay | Statement: [Bucoda, Washington, hasFormerName, South Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Bay Context triple: [Bucoda, Washington, hasFormerName, South Bay]
-
A.
South Bay
South Bay is a coastal region in southwestern Los Angeles County known for its beach cities, aerospace industry presence, and suburban communities.
-
B.
South Bay
South Bay is the southern arm of Humboldt Bay on California’s North Coast, known for its tidal wetlands and estuarine habitat.
-
C.
South Bay
South Bay is the southern region of the San Francisco Bay Area, known for encompassing much of Silicon Valley and several major tech-centric cities.
-
D.
South Bay
South Bay is the southern portion of Biscayne Bay, a coastal lagoon area in southeastern Florida known for its marine habitats and proximity to the Florida Keys and Miami.
-
E.
South Bay
South Bay is a coastal inlet on Livingston Island in the South Shetland Islands of Antarctica, known for its icy waters and surrounding glaciated terrain.
- 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: South Bay Triple: [Bucoda, Washington, hasFormerName, South Bay]
Generated description
South Bay was the historical name of the small town now known as Bucoda in Washington State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: South Bay Target entity description: South Bay was the historical name of the small town now known as Bucoda in Washington State.
-
A.
South Bay
South Bay is a coastal region in southwestern Los Angeles County known for its beach cities, aerospace industry presence, and suburban communities.
-
B.
South Bay
South Bay is the southern arm of Humboldt Bay on California’s North Coast, known for its tidal wetlands and estuarine habitat.
-
C.
South Bay
South Bay is the southern portion of Biscayne Bay, a coastal lagoon area in southeastern Florida known for its marine habitats and proximity to the Florida Keys and Miami.
-
D.
South Bay
South Bay is the southern region of the San Francisco Bay Area, known for encompassing much of Silicon Valley and several major tech-centric cities.
-
E.
South Bay
South Bay is a coastal inlet or bay area associated with the community of Tehkummah on Manitoulin Island in Ontario, Canada.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ec8fb08190b27144ab65f85957 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc3ced708190adf7276865cfa715 |
completed | April 19, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69e4d9e87508819080932fac06fb754d |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4dda28b0081909245b65faae3533b |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 8, 2026, 9:30 p.m.