Triple
T19044327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Far North Side of Chicago |
E466089
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Warren Park
Warren Park is a large public park on Chicago’s Far North Side known for its sports facilities, open green spaces, and year-round recreational activities.
|
E1367817
|
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: Warren Park | Statement: [Far North Side of Chicago, hasPark, Warren Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Park Context triple: [Far North Side of Chicago, hasPark, Warren Park]
-
A.
Warren Park
Warren Park is a public recreational park located in Burleson, Texas.
-
B.
Bruntwood Park
Bruntwood Park is a large public park in Cheadle Hulme, Greater Manchester, known for its open green spaces, woodland areas, and family-friendly recreational facilities.
-
C.
Wilacre Park
Wilacre Park is a popular urban park and hiking area in the Studio City neighborhood of Los Angeles, known for its scenic trails and views of the San Fernando Valley.
-
D.
Heston Park
Heston Park is a public green space and recreational park located in the Heston area of the London Borough of Hounslow, England.
-
E.
Woodhouse Park
Woodhouse Park is a residential neighbourhood within the Wythenshawe district of Manchester, England.
- 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: Warren Park Triple: [Far North Side of Chicago, hasPark, Warren Park]
Generated description
Warren Park is a large public park on Chicago’s Far North Side known for its sports facilities, open green spaces, and year-round recreational activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warren Park Target entity description: Warren Park is a large public park on Chicago’s Far North Side known for its sports facilities, open green spaces, and year-round recreational activities.
-
A.
Warren Park
Warren Park is a public recreational park located in Burleson, Texas.
-
B.
Bruntwood Park
Bruntwood Park is a large public park in Cheadle Hulme, Greater Manchester, known for its open green spaces, woodland areas, and family-friendly recreational facilities.
-
C.
Wilacre Park
Wilacre Park is a popular urban park and hiking area in the Studio City neighborhood of Los Angeles, known for its scenic trails and views of the San Fernando Valley.
-
D.
Heston Park
Heston Park is a public green space and recreational park located in the Heston area of the London Borough of Hounslow, England.
-
E.
Woodhouse Park
Woodhouse Park is a residential neighbourhood within the Wythenshawe district of Manchester, England.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d802a75c8190a4ce45e5fbffc1b7 |
completed | April 20, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e5964588190957bf7549a074833 |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070f2772e881909b3ea02f51c3feb6 |
completed | May 15, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070feb5d948190b8d05d13f250d2ab |
completed | May 15, 2026, 12:22 p.m. |
Created at: April 10, 2026, 12:03 p.m.