Triple
T18456433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cessnock City |
E450912
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount View |
—
|
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: Mount View | Statement: [Cessnock City, contains, Mount View]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount View Context triple: [Cessnock City, contains, Mount View]
-
A.
Mount View
chosen
Mount View is a scenic subregion of Australia’s Hunter Valley wine country known for its vineyards, cellar doors, and elevated views near Cessnock in New South Wales.
-
B.
Monte Vista
Monte Vista was the former name of the city now known as Montclair in San Bernardino County, California.
-
C.
Monte Vista
Monte Vista is a residential suburb in the Northern Suburbs of Cape Town, South Africa.
-
D.
Buena Vista Hill
Buena Vista Hill is a prominent elevated area in San Francisco best known for Buena Vista Park, the city’s oldest official park with wooded trails and scenic views.
-
E.
Summit Hill
Summit Hill is a small borough in northeastern Pennsylvania known for its historic coal-mining roots within the state's anthracite region.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264ce5948190b57baa2ea71297a9 |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:31 a.m.