Triple
T9814625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winsted, Connecticut |
E238368
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object |
Winsted Green
Winsted Green is a central public park and gathering space in Winsted, Connecticut, known for its historic and community significance.
|
E824337
|
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: Winsted Green | Statement: [Winsted, Connecticut, hasFeature, Winsted Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winsted Green Context triple: [Winsted, Connecticut, hasFeature, Winsted Green]
-
A.
Talbot Green
Talbot Green is a retail and commercial village in Rhondda Cynon Taf, South Wales, known for its shopping centre and role as a local economic hub.
-
B.
Meriden Green
Meriden Green is a central urban park and community gathering space in downtown Meriden, Connecticut, featuring open green areas, walking paths, and event venues.
-
C.
Kinsbourne Green
Kinsbourne Green is a small settlement on the outskirts of Harpenden in Hertfordshire, England.
-
D.
Longwell Green
Longwell Green is a suburban area and civil parish in South Gloucestershire, England, situated on the eastern outskirts of Bristol.
-
E.
Langley Green
Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, 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: Winsted Green Triple: [Winsted, Connecticut, hasFeature, Winsted Green]
Generated description
Winsted Green is a central public park and gathering space in Winsted, Connecticut, known for its historic and community significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Winsted Green Target entity description: Winsted Green is a central public park and gathering space in Winsted, Connecticut, known for its historic and community significance.
-
A.
Talbot Green
Talbot Green is a retail and commercial village in Rhondda Cynon Taf, South Wales, known for its shopping centre and role as a local economic hub.
-
B.
Meriden Green
Meriden Green is a central urban park and community gathering space in downtown Meriden, Connecticut, featuring open green areas, walking paths, and event venues.
-
C.
Kinsbourne Green
Kinsbourne Green is a small settlement on the outskirts of Harpenden in Hertfordshire, England.
-
D.
Longwell Green
Longwell Green is a suburban area and civil parish in South Gloucestershire, England, situated on the eastern outskirts of Bristol.
-
E.
Langley Green
Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f19660819083e3f15780352052 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5b264c88190bf16c8c32c360878 |
completed | April 5, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69d1d6252f6c819087977f0713e53e50 |
completed | April 5, 2026, 3:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d6a4429c8190b761dea635c6674e |
completed | April 5, 2026, 3:27 a.m. |
Created at: March 30, 2026, 8:30 p.m.