Triple
T1932904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puget Sound |
E40985
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Main Basin
Main Basin is the central, deep-water portion of Puget Sound that forms the core of its marine ecosystem and shipping waters.
|
E216281
|
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: Main Basin | Statement: [Puget Sound, hasPart, Main Basin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Main Basin Context triple: [Puget Sound, hasPart, Main Basin]
-
A.
Long River
Long River is the English translation of the Chinese name for the Yangtze, Asia’s longest river and a major waterway in China.
-
B.
Green River
Green River is a river in western Washington State that flows through the Seattle metropolitan area and is a key tributary of the Duwamish River.
-
C.
Trinity River Basin
The Trinity River Basin is a major watershed in northwestern California that drains the Trinity River and its tributaries, supporting regional water supply, ecosystems, and recreation.
-
D.
East Basin
East Basin is the eastern section of Lake Burley Griffin in Canberra, known for its waterfront parks, walking paths, and views of key national institutions.
-
E.
Three Rivers
Three Rivers was an Amtrak long-distance passenger train that operated between New York City and Chicago via Pittsburgh.
- 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: Main Basin Triple: [Puget Sound, hasPart, Main Basin]
Generated description
Main Basin is the central, deep-water portion of Puget Sound that forms the core of its marine ecosystem and shipping waters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Main Basin Target entity description: Main Basin is the central, deep-water portion of Puget Sound that forms the core of its marine ecosystem and shipping waters.
-
A.
Long River
Long River is the English translation of the Chinese name for the Yangtze, Asia’s longest river and a major waterway in China.
-
B.
Green River
Green River is a river in western Washington State that flows through the Seattle metropolitan area and is a key tributary of the Duwamish River.
-
C.
Trinity River Basin
The Trinity River Basin is a major watershed in northwestern California that drains the Trinity River and its tributaries, supporting regional water supply, ecosystems, and recreation.
-
D.
East Basin
East Basin is the eastern section of Lake Burley Griffin in Canberra, known for its waterfront parks, walking paths, and views of key national institutions.
-
E.
Three Rivers
Three Rivers was an Amtrak long-distance passenger train that operated between New York City and Chicago via Pittsburgh.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb299f3c48190a5021d320ded4405 |
completed | March 7, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f16d0c8190967862b68e6cc373 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf484b6788190a678a05a52da7eda |
completed | March 8, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf4f8f3c481909efcb6d632522e1a |
completed | March 8, 2026, 10:15 p.m. |
Created at: March 4, 2026, 7:35 p.m.