Triple
T9480679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockford, Illinois |
E228627
|
entity |
| Predicate | nicknamed |
P744
|
FINISHED |
| Object |
Forest City
Forest City is a nickname for Rockford, Illinois, reflecting its historic abundance of trees and parkland.
|
E803012
|
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: Forest City | Statement: [Rockford, Illinois, nicknamed, Forest City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forest City Context triple: [Rockford, Illinois, nicknamed, Forest City]
-
A.
Del City
Del City is a small suburban city in central Oklahoma, located just east of Oklahoma City and largely characterized by its residential neighborhoods and proximity to Tinker Air Force Base.
-
B.
Spring City
Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
-
C.
Spring City
Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
-
D.
The Forest City
The Forest City is a nickname for Portland, Maine, highlighting its abundant trees, parks, and natural green spaces.
-
E.
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.
- 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: Forest City Triple: [Rockford, Illinois, nicknamed, Forest City]
Generated description
Forest City is a nickname for Rockford, Illinois, reflecting its historic abundance of trees and parkland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Forest City Target entity description: Forest City is a nickname for Rockford, Illinois, reflecting its historic abundance of trees and parkland.
-
A.
Del City
Del City is a small suburban city in central Oklahoma, located just east of Oklahoma City and largely characterized by its residential neighborhoods and proximity to Tinker Air Force Base.
-
B.
Spring City
Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
-
C.
Spring City
Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
-
D.
The Forest City
The Forest City is a nickname for Portland, Maine, highlighting its abundant trees, parks, and natural green spaces.
-
E.
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.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8018645c8190823d82a93635b345 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cfebb6c8190af3296c7bfd8b3e4 |
completed | April 4, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69d12eba9968819085b9ec027c6e2814 |
completed | April 4, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12f1ccad08190907b812a12efa65b |
completed | April 4, 2026, 3:32 p.m. |
Created at: March 30, 2026, 7:54 p.m.