Triple
T9972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynn |
E202
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Saugus |
E7483
|
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: Saugus | Statement: [Lynn, borderedBy, Saugus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saugus Context triple: [Lynn, borderedBy, Saugus]
-
A.
Valley Wells
Valley Wells is a small locality situated within California’s Mojave Desert, known primarily as a remote desert community along major regional travel routes.
-
B.
Springwood
Springwood is the historic Hudson River estate in Hyde Park, New York, best known as the lifelong home and presidential library site of Franklin D. Roosevelt.
-
C.
Weston
chosen
Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
-
D.
Napa
Napa is a city in Northern California that serves as the commercial and cultural hub of the renowned Napa Valley wine region.
-
E.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a23ff2f0508190806663ab2463cd41 |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a27bfa1fdc8190ba22f503585051d7 |
completed | Feb. 28, 2026, 5:24 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.