Triple
T2063499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Street |
E45843
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Water Street
Water Street is a common street name in many cities, typically located close to a waterfront or harbor area and often associated with historic commercial or maritime districts.
|
E230825
|
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: Water Street | Statement: [South Street, near, Water Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Water Street Context triple: [South Street, near, Water Street]
-
A.
Bay Street
Bay Street is a major thoroughfare in downtown Toronto, widely recognized as the center of Canada's financial industry.
-
B.
Bay Street
Bay Street is a major thoroughfare on Staten Island, New York City, running along the northeastern shore and serving as a key commercial and transportation corridor.
-
C.
River Street
River Street is a roadway in Cambridge’s city center that serves as a key connector through the urban core.
-
D.
River Westend
River Westend is a small river in Derbyshire, England, that flows through the Peak District and feeds into the River Derwent.
-
E.
Buena Vista Street
Buena Vista Street is a themed entry area at Disney California Adventure Park designed to evoke 1920s–1930s Los Angeles at the time of Walt Disney’s arrival.
- 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: Water Street Triple: [South Street, near, Water Street]
Generated description
Water Street is a common street name in many cities, typically located close to a waterfront or harbor area and often associated with historic commercial or maritime districts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Water Street Target entity description: Water Street is a common street name in many cities, typically located close to a waterfront or harbor area and often associated with historic commercial or maritime districts.
-
A.
Bay Street
Bay Street is a major thoroughfare in downtown Toronto, widely recognized as the center of Canada's financial industry.
-
B.
Bay Street
Bay Street is a major thoroughfare on Staten Island, New York City, running along the northeastern shore and serving as a key commercial and transportation corridor.
-
C.
River Street
River Street is a roadway in Cambridge’s city center that serves as a key connector through the urban core.
-
D.
River Westend
River Westend is a small river in Derbyshire, England, that flows through the Peak District and feeds into the River Derwent.
-
E.
Buena Vista Street
Buena Vista Street is a themed entry area at Disney California Adventure Park designed to evoke 1920s–1930s Los Angeles at the time of Walt Disney’s arrival.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d3a92081909416c1d087876e99 |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae271fa66081908be6c685b9bd8aa4 |
completed | March 9, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_69ae28b4f0548190926ac694fbade405 |
completed | March 9, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae292a9d7481909acbc3a5f24ff0b9 |
completed | March 9, 2026, 1:58 a.m. |
Created at: March 4, 2026, 7:40 p.m.