Triple
T19499882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockbridge, Georgia |
E487873
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Memorial Park |
—
|
NE NERFINISHED |
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: Memorial Park | Statement: [Stockbridge, Georgia, hasPark, Memorial Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memorial Park Context triple: [Stockbridge, Georgia, hasPark, Memorial Park]
-
A.
Memorial Park
chosen
Memorial Park is a public recreational green space in Stockbridge, Georgia, offering outdoor amenities and community gathering areas for residents and visitors.
-
B.
Memorial Park
Memorial Park is a community recreational area in Sierra Madre, California, commonly used for local events, outdoor activities, and public gatherings.
-
C.
Memorial Park
Memorial Park is a public recreational park in San Ramon, California, offering open green spaces and community amenities for local residents and visitors.
-
D.
Memorial Park
Memorial Park is a public recreational park located in Lansdale, Pennsylvania.
-
E.
Memorial Park
Memorial Park is a public recreational park in Ottumwa, Iowa, offering green space and outdoor amenities for community use.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6349462108190bb763b4e03bf000d |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:40 p.m.