Triple
T17822463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freeport, Illinois |
E445020
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Pretzel City
Pretzel City is the nickname of Freeport, Illinois, reflecting its historical association with pretzel manufacturing and German heritage.
|
E1289266
|
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: Pretzel City | Statement: [Freeport, Illinois, hasNickname, Pretzel City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pretzel City Context triple: [Freeport, Illinois, hasNickname, Pretzel City]
-
A.
Marzipan City
Marzipan City is the whimsical, food-themed fictional town where the animated series "Chowder" takes place.
-
B.
Purple City
Purple City is a Harlem-based hip hop group and affiliate of The Diplomats known for their mixtapes and street-oriented rap.
-
C.
Clock City
Clock City is a nickname for Bristol, Connecticut, historically known for its prominent clock-making industry.
-
D.
Parlor City
Parlor City is a historic nickname for Binghamton, New York, reflecting its past reputation as a refined, prosperous urban center.
-
E.
River City
River City is a common nickname and place name in the United States, often referring to cities situated along major rivers and popularized in American culture and media.
- 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: Pretzel City Triple: [Freeport, Illinois, hasNickname, Pretzel City]
Generated description
Pretzel City is the nickname of Freeport, Illinois, reflecting its historical association with pretzel manufacturing and German heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pretzel City Target entity description: Pretzel City is the nickname of Freeport, Illinois, reflecting its historical association with pretzel manufacturing and German heritage.
-
A.
Marzipan City
Marzipan City is the whimsical, food-themed fictional town where the animated series "Chowder" takes place.
-
B.
Purple City
Purple City is a Harlem-based hip hop group and affiliate of The Diplomats known for their mixtapes and street-oriented rap.
-
C.
Clock City
Clock City is a nickname for Bristol, Connecticut, historically known for its prominent clock-making industry.
-
D.
Parlor City
Parlor City is a historic nickname for Binghamton, New York, reflecting its past reputation as a refined, prosperous urban center.
-
E.
River City
River City is a common nickname and place name in the United States, often referring to cities situated along major rivers and popularized in American culture and media.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48911b660819097fc7ea94665a02a |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff69f02c81908a7b6b8b564cceec |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a03000abe908190a4f4835f348aa544 |
completed | May 12, 2026, 10:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0300e885e481909c76dfbac2fd1009 |
completed | May 12, 2026, 10:28 a.m. |
Created at: April 10, 2026, 10:15 a.m.