Triple
T11524358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutherford, New Jersey |
E273251
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
The Borough of Trees
The Borough of Trees is a nickname for Rutherford, New Jersey, highlighting the town’s abundant tree-lined streets and leafy residential character.
|
E930150
|
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: The Borough of Trees | Statement: [Rutherford, New Jersey, nickname, The Borough of Trees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Borough of Trees Context triple: [Rutherford, New Jersey, nickname, The Borough of Trees]
-
A.
The City of Trees
The City of Trees is the nickname and motto of Takoma Park, Maryland, highlighting the community’s strong emphasis on urban forestry and abundant tree canopy.
-
B.
City of Trees
City of Trees is the nickname for Boise, Idaho, highlighting the city's abundant urban greenery and tree-lined landscape.
-
C.
City of Trees
City of Trees is the popular nickname for Sendai, a major city in Japan renowned for its abundant greenery and tree-lined streets.
-
D.
City of Trees
City of Trees is a popular nickname for Sacramento, California, highlighting its extensive urban tree canopy and lush greenery.
-
E.
City of Trees
City of Trees is the nickname of Burlingame, California, highlighting its abundant tree-lined streets and lush urban canopy.
- 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: The Borough of Trees Triple: [Rutherford, New Jersey, nickname, The Borough of Trees]
Generated description
The Borough of Trees is a nickname for Rutherford, New Jersey, highlighting the town’s abundant tree-lined streets and leafy residential character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Borough of Trees Target entity description: The Borough of Trees is a nickname for Rutherford, New Jersey, highlighting the town’s abundant tree-lined streets and leafy residential character.
-
A.
The City of Trees
The City of Trees is the nickname and motto of Takoma Park, Maryland, highlighting the community’s strong emphasis on urban forestry and abundant tree canopy.
-
B.
City of Trees
City of Trees is the popular nickname for Sendai, a major city in Japan renowned for its abundant greenery and tree-lined streets.
-
C.
City of Trees
City of Trees is a popular nickname for Sacramento, California, highlighting its extensive urban tree canopy and lush greenery.
-
D.
City of Trees
City of Trees is the nickname for Boise, Idaho, highlighting the city's abundant urban greenery and tree-lined landscape.
-
E.
City of Trees
City of Trees is the nickname of Burlingame, California, highlighting its abundant tree-lined streets and lush urban canopy.
- 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_69d87fd26648819083de19bcddf8ad69 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62562efb88190bbf3c7bbec8233aa |
completed | April 20, 2026, 1:08 p.m. |
| NEDg | Description generation | batch_69e62cf5b9988190bc1935993f0111f7 |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e66433ddb48190994bb1160b0ff732 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:37 p.m.