Triple
T7889627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tavern on the Green |
E183192
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Sheep Meadow |
E34776
|
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: Sheep Meadow | Statement: [Tavern on the Green, near, Sheep Meadow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheep Meadow Context triple: [Tavern on the Green, near, Sheep Meadow]
-
A.
Sheep Meadow
chosen
Sheep Meadow is a large, iconic open lawn in New York City's Central Park known for picnicking, sunbathing, and skyline views.
-
B.
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.
-
C.
Eyes Meadow
Eyes Meadow is a public recreational field and green space in Duffield, Derbyshire, used for outdoor leisure and community activities.
-
D.
Runnymede meadow
Runnymede meadow is a historic riverside grassland in Surrey, England, best known as the traditional site where Magna Carta was sealed in 1215.
-
E.
Park Meadow
Park Meadow is a scenic alpine meadow and popular hiking destination located within Oregon’s Three Sisters Wilderness.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ecb700819091c1bdfa95349d36 |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b9f47cc8190a6f9fc087010ad96 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5 p.m.