Triple
T11815459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mascot |
E280987
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Lakeside Park |
unclear NED1
|
NE FINISHED |
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: Lakeside Park | Statement: [Mascot, hasPark, Lakeside Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakeside Park Context triple: [Mascot, hasPark, Lakeside Park]
-
A.
Lakeside Park
Lakeside Park is a public recreational park in Pawling, New York, known for its lakeside setting and outdoor activities.
-
B.
Lakeside Park
Lakeside Park is a scenic public green space in Dallas known for its walking paths, landscaped grounds, and views along Turtle Creek.
-
C.
Lakeshore Park
Lakeshore Park is a large recreational park in Novi, Michigan, known for its wooded trails, beach on Walled Lake, and family-friendly outdoor amenities.
-
D.
Lakeshore Park
Lakeshore Park is a public recreational park located in Carrollton, Georgia, offering outdoor space and amenities for community activities and leisure.
-
E.
Glenlake Park
Glenlake Park is a public recreational park in Decatur, Georgia, featuring green spaces, sports facilities, and community amenities for local residents and visitors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ccbbd481908c9013cb5a50c079 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a52fcfa081909cc312a56bf12693 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 8, 2026, 9:42 p.m.