Triple
T17360245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatley Castle |
E422048
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Hatley Park |
—
|
NE ONNED1 |
How this triple was built (2 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: [Hatley Castle, formerName, Hatley Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatley Park Context triple: [Hatley Castle, formerName, Hatley Park]
-
A.
Hatley Park
chosen
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.
-
B.
Rockwell Park
Rockwell Park is a public recreational park in Bristol, Connecticut, known for its green spaces, walking trails, and community amenities.
-
C.
Irwin Park
Irwin Park is a small historic urban park in Honolulu, Hawaii, known for its shaded green space amid the downtown waterfront area.
-
D.
Hurley Park
Hurley Park is a public garden and recreational green space located in Salisbury, North Carolina.
-
E.
Hessel Park
Hessel Park is a popular public park in Champaign, Illinois, known for its open green spaces, playgrounds, and community recreation facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01955e4cb481909e3193439bb85cd8 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.