Triple
T12689834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New City |
E303171
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Brighton Park |
E291193
|
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: Brighton Park | Statement: [New City, borderedBy, Brighton Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brighton Park Context triple: [New City, borderedBy, Brighton Park]
-
A.
Brighton Park
chosen
Brighton Park is a residential and industrial neighborhood on Chicago’s Southwest Side known for its diverse population and strong working-class character.
-
B.
Roosevelt Park
Roosevelt Park is a public recreational park in Edison, New Jersey, known for its walking trails, lake, and community facilities.
-
C.
Jefferson Park
Jefferson Park is a historic residential neighborhood in Los Angeles known for its early 20th-century architecture and diverse community.
-
D.
Jefferson Park
Jefferson Park is a scenic alpine meadow area in Oregon’s Mount Jefferson Wilderness, known for its lakes, wildflower-filled basins, and close-up views of Mount Jefferson and surrounding glaciers.
-
E.
Jefferson Park
Jefferson Park is a large public park in Seattle’s Beacon Hill neighborhood, known for its open green spaces, sports facilities, and panoramic views of the city and mountains.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961dabb38819087738361f9de8066 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9383088190a0194cd0e666d11c |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 9, 2026, 5:21 p.m.