Triple
T18305053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scituate |
E438462
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Greenbush |
—
|
NE NERFINISHED |
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: Greenbush | Statement: [Scituate, hasPart, Greenbush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenbush Context triple: [Scituate, hasPart, Greenbush]
-
A.
Greenbush
chosen
Greenbush is a village in Scituate, Massachusetts, that serves as the endpoint of the MBTA Commuter Rail’s Greenbush Line.
-
B.
Tuckwell
Tuckwell is an English-language surname borne by various notable individuals, including figures in the arts and public life.
-
C.
Goonengerry
Goonengerry is a rural locality in the Northern Rivers region of New South Wales, Australia, known for its lush hinterland landscapes and proximity to Byron Bay.
-
D.
Coombabah
Coombabah is a suburb on the Gold Coast in Queensland, Australia, known for its wetlands, nature reserve, and residential communities.
-
E.
Moogerah
Moogerah is a rural locality in Queensland, Australia, known for its scenic landscapes and proximity to Lake Moogerah and the surrounding mountain ranges.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5018256508190b024980e3a4a3ae9 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.