Triple
T8583989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orton Waterville |
E203254
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Nene Park
Nene Park is a large country park and recreational area in Peterborough, England, known for its lakes, woodlands, and outdoor leisure facilities.
|
E742654
|
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: Nene Park | Statement: [Orton Waterville, near, Nene Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nene Park Context triple: [Orton Waterville, near, Nene Park]
-
A.
Banna Park
Banna Park is a large nature park on Ishigaki Island in Okinawa, Japan, known for its scenic viewpoints, subtropical forest trails, and rich birdlife.
-
B.
Seel Park
Seel Park is a football stadium in Mossley, England, serving as the home ground of Mossley A.F.C.
-
C.
Hanna Park
Hanna Park is a public recreational park located in Shelby, North Carolina.
-
D.
Heiwadai Park
Heiwadai Park is a historic peace park in Miyazaki, Japan, known for its Peace Tower and scenic grounds commemorating peace and cultural heritage.
-
E.
Nira Park
Nira Park is a British film and television producer known for her collaborations with Edgar Wright and for producing acclaimed genre-bending comedies and cult favorites.
- 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: Nene Park Triple: [Orton Waterville, near, Nene Park]
Generated description
Nene Park is a large country park and recreational area in Peterborough, England, known for its lakes, woodlands, and outdoor leisure facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nene Park Target entity description: Nene Park is a large country park and recreational area in Peterborough, England, known for its lakes, woodlands, and outdoor leisure facilities.
-
A.
Banna Park
Banna Park is a large nature park on Ishigaki Island in Okinawa, Japan, known for its scenic viewpoints, subtropical forest trails, and rich birdlife.
-
B.
Seel Park
Seel Park is a football stadium in Mossley, England, serving as the home ground of Mossley A.F.C.
-
C.
Hanna Park
Hanna Park is a public recreational park located in Shelby, North Carolina.
-
D.
Heiwadai Park
Heiwadai Park is a historic peace park in Miyazaki, Japan, known for its Peace Tower and scenic grounds commemorating peace and cultural heritage.
-
E.
Nira Park
Nira Park is a British film and television producer known for her collaborations with Edgar Wright and for producing acclaimed genre-bending comedies and cult favorites.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1ecc188190bbe2ab8d2423505b |
completed | March 31, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89bfb95c81909660460d5813fdaf |
completed | April 2, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ce8ac2aec0819087770c0e9dfd3174 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8b637bbc819097bf333d348631cd |
completed | April 2, 2026, 3:29 p.m. |
Created at: March 30, 2026, 6:22 p.m.