Triple

T13585989
Position Surface form Disambiguated ID Type / Status
Subject Sweffling E324564 entity
Predicate ecclesiasticalParish P8670 FINISHED
Object Sweffling E324564 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: Sweffling | Statement: [Sweffling, ecclesiasticalParish, Sweffling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweffling
Context triple: [Sweffling, ecclesiasticalParish, Sweffling]
  • A. Sweffling chosen
    Sweffling is a small rural village and civil parish in the English county of Suffolk, known for its historic church and agricultural surroundings.
  • B. Sylling
    Sylling is a village in Lier municipality in Viken county, Norway, known for its rural setting near the southern end of Tyrifjorden.
  • C. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • D. Kekerdom
    Kekerdom is a small village in the Dutch province of Gelderland, known for its rural landscape along the Waal River and traditional dike-side farms.
  • E. Fantswam
    Fantswam are a subgroup of the Atyap people, an ethnic community indigenous to southern Kaduna State in Nigeria with their own distinct cultural and linguistic identity.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03310fc819092a56b9f2d73f560 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc148d08190821614a866d1a7f0 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.