Triple
T3415707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maleny |
E72002
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Montville |
E72425
|
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: Montville | Statement: [Maleny, locatedNear, Montville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montville Context triple: [Maleny, locatedNear, Montville]
-
A.
Montville
chosen
Montville is a picturesque hinterland village in Queensland’s Sunshine Coast region, known for its scenic views, artisan shops, and cafes.
-
B.
Beacon Falls
Beacon Falls is a small town in Connecticut known for its scenic Naugatuck River setting and historic mill village character.
-
C.
Groveland
Groveland is a small unincorporated community in California’s Sierra Nevada foothills, known as a gateway town for visitors traveling to Yosemite National Park.
-
D.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
E.
Mapleville
Mapleville is a small village and census-designated place located within the town of Burrillville in northern Rhode Island.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb92ae6148190958d6bb735258cab |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34be316a88190a15cb1e9f31b57d0 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:15 p.m.