Triple
T15714484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Lenox |
E380924
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Kennedy Park
Kennedy Park is a popular forested recreation area in Lenox, Massachusetts, known for its hiking and cross-country skiing trails and scenic Berkshire views.
|
E1445585
|
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: Kennedy Park | Statement: [Town of Lenox, hasAttraction, Kennedy Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kennedy Park Context triple: [Town of Lenox, hasAttraction, Kennedy Park]
-
A.
Kennedy Park
Kennedy Park is a residential neighbourhood in the Scarborough district of Toronto, Ontario, Canada.
-
B.
Kennedy Park
Kennedy Park is a public recreational park located in Sayreville, New Jersey, offering outdoor spaces and facilities for community activities and leisure.
-
C.
Kennedy Park
Kennedy Park is a public recreational park located in the city of El Cajon, California.
-
D.
Clum-Kennedy Park
Clum-Kennedy Park is a small community park in Kensington, Maryland, offering local residents green space and recreational amenities.
-
E.
Sheehan Park
Sheehan Park is a public recreational park in Sun Prairie, Wisconsin, featuring open green spaces, sports facilities, and community amenities for local residents and visitors.
- 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: Kennedy Park Triple: [Town of Lenox, hasAttraction, Kennedy Park]
Generated description
Kennedy Park is a popular forested recreation area in Lenox, Massachusetts, known for its hiking and cross-country skiing trails and scenic Berkshire views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kennedy Park Target entity description: Kennedy Park is a popular forested recreation area in Lenox, Massachusetts, known for its hiking and cross-country skiing trails and scenic Berkshire views.
-
A.
Kennedy Park
Kennedy Park is a residential neighbourhood in the Scarborough district of Toronto, Ontario, Canada.
-
B.
Kennedy Park
Kennedy Park is a public recreational park located in Sayreville, New Jersey, offering outdoor spaces and facilities for community activities and leisure.
-
C.
Kennedy Park
Kennedy Park is a public recreational park located in the city of El Cajon, California.
-
D.
Clum-Kennedy Park
Clum-Kennedy Park is a small community park in Kensington, Maryland, offering local residents green space and recreational amenities.
-
E.
Sheehan Park
Sheehan Park is a public recreational park in Sun Prairie, Wisconsin, featuring open green spaces, sports facilities, and community amenities for local residents and visitors.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f90aea0819082a9e9fe0f7780b0 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7c569a481909b595b0517fbee7d |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d902cab481908d0a7b28699a2031 |
completed | May 16, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d9693acc8190acc75cbbf06b62da |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 10, 2026, 4:45 a.m.