Triple
T22807276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Desert region of San Bernardino County |
E564570
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Helendale |
—
|
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: Helendale | Statement: [High Desert region of San Bernardino County, hasCommunity, Helendale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helendale Context triple: [High Desert region of San Bernardino County, hasCommunity, Helendale]
-
A.
Helendale
chosen
Helendale is a small unincorporated desert community in San Bernardino County, California, situated along the Mojave River between Victorville and Barstow.
-
B.
Ridgewood
Ridgewood is a rural locality within Queensland’s Noosa Shire, known for its countryside setting and small-community character.
-
C.
Aldenville
Aldenville is the former name of the small Sierra Nevada foothill town now known as Colfax, California.
-
D.
Aldenville
Aldenville is a residential neighborhood within the city of Chicopee in western Massachusetts.
-
E.
Lawnside
Lawnside is a small, historically African American borough located in Camden County, New Jersey.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5d41dc819081912d9e29828bfb |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.