Triple
T15104395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackall Range |
E360749
|
entity |
| Predicate | hasTown |
P847
|
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: [Blackall Range, hasTown, Montville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montville Context triple: [Blackall Range, hasTown, 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.
Montville
Montville is a commune in the Seine-Maritime department of the Normandy region in northern France.
-
C.
Montville, Connecticut
Montville, Connecticut is a small town in New London County known for hosting the Mohegan Sun casino and arena, home of the WNBA’s Connecticut Sun.
-
D.
Montarville
Montarville is a Canadian federal electoral district located in Quebec, represented in the House of Commons.
-
E.
Mattituck
Mattituck is a small hamlet and wine-country community on the North Fork of Long Island in Suffolk County, New York.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00551521c8190b48d1a074bb4bdfc |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae274f6881908931569efc09996e |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:05 a.m.