Triple
T16242740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Pere, Wisconsin |
E394293
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Legion Park
Legion Park is a public recreational park located in the city of De Pere, Wisconsin.
|
E1201963
|
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: Legion Park | Statement: [De Pere, Wisconsin, hasPark, Legion Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legion Park Context triple: [De Pere, Wisconsin, hasPark, Legion Park]
-
A.
Seneca Park
Seneca Park is a public recreational park in Irondequoit, New York, known for its natural scenery and outdoor amenities.
-
B.
Exposition Park
Exposition Park was a historic early 20th-century baseball stadium in Pittsburgh that hosted the Pittsburgh Pirates and the first modern World Series games.
-
C.
Exposition Park
Exposition Park is a major cultural and recreational complex in Los Angeles known for its museums, sports venues, and expansive public green spaces.
-
D.
Munsey Park
Munsey Park is an affluent residential village on Long Island’s North Shore in Nassau County, New York.
-
E.
Parque del Oeste
Parque del Oeste is a large urban park in Madrid, Spain, known for its landscaped gardens, scenic viewpoints, and cultural landmarks.
- 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: Legion Park Triple: [De Pere, Wisconsin, hasPark, Legion Park]
Generated description
Legion Park is a public recreational park located in the city of De Pere, Wisconsin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Legion Park Target entity description: Legion Park is a public recreational park located in the city of De Pere, Wisconsin.
-
A.
Seneca Park
Seneca Park is a public recreational park in Irondequoit, New York, known for its natural scenery and outdoor amenities.
-
B.
Exposition Park
Exposition Park was a historic early 20th-century baseball stadium in Pittsburgh that hosted the Pittsburgh Pirates and the first modern World Series games.
-
C.
Exposition Park
Exposition Park is a major cultural and recreational complex in Los Angeles known for its museums, sports venues, and expansive public green spaces.
-
D.
Munsey Park
Munsey Park is an affluent residential village on Long Island’s North Shore in Nassau County, New York.
-
E.
Parque del Oeste
Parque del Oeste is a large urban park in Madrid, Spain, known for its landscaped gardens, scenic viewpoints, and cultural landmarks.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24560060c8190ace4f4c0bd0d886d |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000edf64a88190a9dd0c591c742977 |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a00108174ac8190b3c421b115b7190e |
completed | May 10, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0010f40d6081909927e8281ab17580 |
completed | May 10, 2026, 5 a.m. |
Created at: April 10, 2026, 5:04 a.m.