Triple
T7912483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Park Reservoir |
E183731
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Great Lawn |
E191412
|
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: Great Lawn | Statement: [Central Park Reservoir, near, Great Lawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great Lawn Context triple: [Central Park Reservoir, near, Great Lawn]
-
A.
Great Lawn
chosen
The Great Lawn is a large, iconic open green space in the heart of New York City's Central Park, popular for picnics, recreation, and major public events and concerts.
-
B.
Great Lawn
Great Lawn is a large open green space within Lansdowne Park in Ottawa, commonly used for recreation, events, and community gatherings.
-
C.
Cook’s Meadow
Cook’s Meadow is a scenic, open meadow in Yosemite Valley offering iconic views of Yosemite Falls and the surrounding granite cliffs.
-
D.
Sheep Meadow
Sheep Meadow is a large, iconic open lawn in New York City's Central Park known for picnicking, sunbathing, and skyline views.
-
E.
Great Meadow Park
Great Meadow Park is a large grassy recreational area within San Francisco’s Fort Mason, offering open space, views of the bay, and spots for picnicking and outdoor events.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a7383cc819084eab19799209d2e |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdff156c481909a32be8828f407ad |
completed | March 31, 2026, 2:53 p.m. |
Created at: March 30, 2026, 5:04 p.m.