Triple
T1929760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sendai |
E40916
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
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.
|
E215388
|
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: City of Trees | Statement: [Sendai, nickname, City of Trees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Trees Context triple: [Sendai, nickname, City of Trees]
-
A.
City of Trees
City of Trees is a popular nickname for Sacramento, California, highlighting its extensive urban tree canopy and lush greenery.
-
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.
The Power of Trees
"The Power of Trees" is an influential work by ecologist Gretchen C. Daily that explores the vital ecological, economic, and cultural roles of trees and forests in sustaining life on Earth.
-
D.
“City of Trees”
“City of Trees” is the official motto of Evanston, Illinois, highlighting the city’s notable abundance of trees and green spaces.
-
E.
Green City in the Sun
Green City in the Sun is a popular nickname for Nairobi, highlighting the Kenyan capital’s lush greenery and warm, sunny climate.
- 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: City of Trees Triple: [Sendai, nickname, City of Trees]
Generated description
City of Trees is the popular nickname for Sendai, a major city in Japan renowned for its abundant greenery and tree-lined streets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: City of Trees Target entity description: City of Trees is the popular nickname for Sendai, a major city in Japan renowned for its abundant greenery and tree-lined streets.
-
A.
City of Trees
City of Trees is a popular nickname for Sacramento, California, highlighting its extensive urban tree canopy and lush greenery.
-
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.
The Power of Trees
"The Power of Trees" is an influential work by ecologist Gretchen C. Daily that explores the vital ecological, economic, and cultural roles of trees and forests in sustaining life on Earth.
-
D.
“City of Trees”
“City of Trees” is the official motto of Evanston, Illinois, highlighting the city’s notable abundance of trees and green spaces.
-
E.
Green City in the Sun
Green City in the Sun is a popular nickname for Nairobi, highlighting the Kenyan capital’s lush greenery and warm, sunny climate.
- 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_69abb266dcb4819090be83556615d0db |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3ed31448190a2e5d088ab5886b8 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf48412b08190b6ad0f3abf42a081 |
completed | March 8, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf4f7c908819089ccdc881af10da9 |
completed | March 8, 2026, 10:15 p.m. |
Created at: March 4, 2026, 7:35 p.m.