Triple
T7915638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland, Maine |
E183818
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
The Forest City
The Forest City is a nickname for Portland, Maine, highlighting its abundant trees, parks, and natural green spaces.
|
E696901
|
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 Forest City | Statement: [Portland, Maine, hasNickname, The Forest City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Forest City Context triple: [Portland, Maine, hasNickname, The Forest City]
-
A.
The Forest City
The Forest City is a nickname for Cleveland, Ohio, reflecting its historic abundance of trees and emphasis on green, park-filled urban planning.
-
B.
The Garden City
The Garden City is a nickname for St. Catharines, a city in Ontario, Canada known for its abundant parks, green spaces, and floral beauty.
-
C.
The Garden City
The Garden City is a nickname for Newton, Massachusetts, reflecting its abundant green spaces, tree-lined streets, and residential charm.
-
D.
The Garden City
The Garden City is a popular nickname for Christchurch, New Zealand, highlighting its extensive parks, gardens, and tree-lined streets.
-
E.
Parlor City
Parlor City is a historic nickname for Binghamton, New York, reflecting its past reputation as a refined, prosperous urban center.
- 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 Forest City Triple: [Portland, Maine, hasNickname, The Forest City]
Generated description
The Forest City is a nickname for Portland, Maine, highlighting its abundant trees, parks, and natural green spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Forest City Target entity description: The Forest City is a nickname for Portland, Maine, highlighting its abundant trees, parks, and natural green spaces.
-
A.
The Forest City
The Forest City is a nickname for Cleveland, Ohio, reflecting its historic abundance of trees and emphasis on green, park-filled urban planning.
-
B.
The Garden City
The Garden City is a nickname for St. Catharines, a city in Ontario, Canada known for its abundant parks, green spaces, and floral beauty.
-
C.
The Garden City
The Garden City is a nickname for Newton, Massachusetts, reflecting its abundant green spaces, tree-lined streets, and residential charm.
-
D.
The Garden City
The Garden City is a popular nickname for Christchurch, New Zealand, highlighting its extensive parks, gardens, and tree-lined streets.
-
E.
Parlor City
Parlor City is a historic nickname for Binghamton, New York, reflecting its past reputation as a refined, prosperous urban center.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a76ae688190b068e4c92603a16d |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5be54fdc81909a988114a6f30a13 |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f20eb3c81909e059d5a02263aa2 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76bb9a308190a9d7b34838d696db |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:05 p.m.