Triple
T8274384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Mills |
E193505
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Cedar Grove |
unclear NED1
|
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: Cedar Grove | Statement: [Lower Mills, adjacentTo, Cedar Grove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cedar Grove Context triple: [Lower Mills, adjacentTo, Cedar Grove]
-
A.
Cedar Grove
Cedar Grove is a scenic glacially carved valley in California’s Sierra Nevada, known for its towering granite cliffs, lush forests, and access to hiking and river recreation within Kings Canyon National Park.
-
B.
Cedar Grove
Cedar Grove is a residential neighborhood in New Jersey served by NJ Transit's Butler rail station.
-
C.
Brights Grove
Brights Grove is a lakeside residential community and former village now forming part of the city of Sarnia in southwestern Ontario, Canada.
-
D.
Blooming Grove
Blooming Grove is a town in Dane County, Wisconsin, known for its suburban residential character near the city of Madison.
-
E.
Elmwood Springs
Elmwood Springs is a small, close-knit fictional American town created by Fannie Flagg and used as the setting for several of her interconnected novels.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798bc29c8190927ef4b0662d6b98 |
completed | March 31, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd9510a74c8190a8f8c9c7e430b5ae |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:51 p.m.