Triple
T12845941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Ledge, Michigan |
E307174
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Jaycee Park |
E569960
|
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: Jaycee Park | Statement: [Grand Ledge, Michigan, hasPark, Jaycee Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaycee Park Context triple: [Grand Ledge, Michigan, hasPark, Jaycee Park]
-
A.
Jaycee Park
Jaycee Park is a local public park in Greencastle, Indiana, providing outdoor recreational space for the community.
-
B.
Jaycee Park
Jaycee Park is a local public park and recreational area located in Reidsville, North Carolina.
-
C.
Jaycee Park
chosen
Jaycee Park is a public recreational park located in Westland, Michigan.
-
D.
Jonas Rivera
Jonas Rivera is an American film producer at Pixar Animation Studios known for producing acclaimed animated features such as "Up" and "Inside Out."
-
E.
Mikael Daez
Mikael Daez is a Filipino actor, model, and television host known for his work in various GMA Network shows and films.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff49efc8190bd6bbac510cc4705 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba1ef2481909bcf68a698afd3c6 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:36 p.m.