Triple
T4215327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Roads University |
E94200
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Hatley Park
Hatley Park is a historic estate and gardens in Colwood, British Columbia, best known as the site of the former Hatley Castle and now home to Royal Roads University.
|
E425537
|
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: Hatley Park | Statement: [Royal Roads University, locatedIn, Hatley Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatley Park Context triple: [Royal Roads University, locatedIn, Hatley Park]
-
A.
Irwin Park
Irwin Park is a small historic urban park in Honolulu, Hawaii, known for its shaded green space amid the downtown waterfront area.
-
B.
Hurley Park
Hurley Park is a public garden and recreational green space located in Salisbury, North Carolina.
-
C.
Halesite Park
Halesite Park is a local public park and recreational area in the hamlet of Halesite, New York.
-
D.
Holladay Park
Holladay Park is a public urban park in Portland, Oregon, known for its open green space, fountains, and role as a central gathering spot in the Lloyd District.
-
E.
Shute Park
Shute Park is a public park in Hillsboro, Oregon, known for its large green spaces, recreational facilities, and community events.
- 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: Hatley Park Triple: [Royal Roads University, locatedIn, Hatley Park]
Generated description
Hatley Park is a historic estate and gardens in Colwood, British Columbia, best known as the site of the former Hatley Castle and now home to Royal Roads University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatley Park Target entity description: Hatley Park is a historic estate and gardens in Colwood, British Columbia, best known as the site of the former Hatley Castle and now home to Royal Roads University.
-
A.
Irwin Park
Irwin Park is a small historic urban park in Honolulu, Hawaii, known for its shaded green space amid the downtown waterfront area.
-
B.
Hurley Park
Hurley Park is a public garden and recreational green space located in Salisbury, North Carolina.
-
C.
Halesite Park
Halesite Park is a local public park and recreational area in the hamlet of Halesite, New York.
-
D.
Holladay Park
Holladay Park is a public urban park in Portland, Oregon, known for its open green space, fountains, and role as a central gathering spot in the Lloyd District.
-
E.
Shute Park
Shute Park is a public park in Hillsboro, Oregon, known for its large green spaces, recreational facilities, and community events.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34be8ba408190baee362e5abbe75b |
completed | March 12, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b76f07b4819097b59868af43b611 |
completed | March 14, 2026, 7:30 p.m. |
| NEDg | Description generation | batch_69b5b80e6b6c8190a6c10c62f733f4e5 |
completed | March 14, 2026, 7:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b881c80081909af084ff4b43b01e |
completed | March 14, 2026, 7:35 p.m. |
Created at: March 12, 2026, 11:04 p.m.