Triple
T7790408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waukesha, Wisconsin |
E187360
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Spring City
Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
|
E693650
|
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: Spring City | Statement: [Waukesha, Wisconsin, hasNickname, Spring City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spring City Context triple: [Waukesha, Wisconsin, hasNickname, Spring City]
-
A.
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.
-
B.
Square City
Square City is a walled, square-shaped fortress-like structure that serves as the main gate complex and defensive enclosure at the entrance to the Ming Xiaoling Mausoleum in Nanjing, China.
-
C.
Bell City
Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
-
D.
Metro City
Metro City is the fictional, superhero-populated metropolis that serves as the primary setting of the animated film "Megamind."
-
E.
Elwood City
Elwood City is the fictional suburban town where the children's animated series "Arthur" takes place, featuring anthropomorphic animal characters and everyday school and family life.
- 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: Spring City Triple: [Waukesha, Wisconsin, hasNickname, Spring City]
Generated description
Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spring City Target entity description: Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
-
A.
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.
-
B.
Square City
Square City is a walled, square-shaped fortress-like structure that serves as the main gate complex and defensive enclosure at the entrance to the Ming Xiaoling Mausoleum in Nanjing, China.
-
C.
Bell City
Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
-
D.
Metro City
Metro City is the fictional, superhero-populated metropolis that serves as the primary setting of the animated film "Megamind."
-
E.
Elwood City
Elwood City is the fictional suburban town where the children's animated series "Arthur" takes place, featuring anthropomorphic animal characters and everyday school and family life.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7ea13f08190a60c5f1863bce816 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf631988481908373498aaf1ea0e8 |
completed | March 30, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69caf820b05481908b405048c077ca2e |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa052d4481908b89f6001aa6ea01 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:25 p.m.