Triple

T15347857
Position Surface form Disambiguated ID Type / Status
Subject Sunshine Coast hinterland E366971 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: [Sunshine Coast hinterland, hasTown, Montville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montville
Context triple: [Sunshine Coast hinterland, 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01fb46b48190a030e40ee0163559 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.