Triple
T9246806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valley Park |
E222216
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Valley Park |
E222216
|
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: Valley Park | Statement: [Valley Park, name, Valley Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valley Park Context triple: [Valley Park, name, Valley Park]
-
A.
Valley Park
chosen
Valley Park is a public recreational park located in Grandview, Missouri.
-
B.
North Valley Park
North Valley Park is a public recreational park located in Clayton, California.
-
C.
Maplewood Park
Maplewood Park is a public recreational park located in Georgetown Township, Michigan.
-
D.
Kirkwood Park
Kirkwood Park is a major public recreational park in Kirkwood, Missouri, featuring green spaces, sports facilities, and community amenities for residents and visitors.
-
E.
Norwood Park
Norwood Park is a primarily residential, historically suburban-style neighborhood on Chicago’s far Northwest Side known for its spacious lots, older homes, and strong community feel.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd03f181e081908d9ff7dc6f86420e |
completed | April 1, 2026, 11:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e351e7a08190b4abb8747a84871b |
completed | April 4, 2026, 10:09 a.m. |
Created at: March 30, 2026, 7:30 p.m.