Triple

T17252243
Position Surface form Disambiguated ID Type / Status
Subject Afon Rhymni E418783 entity
Predicate passesNear P416 FINISHED
Object Rumney E395208 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: Rumney | Statement: [Afon Rhymni, passesNear, Rumney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rumney
Context triple: [Afon Rhymni, passesNear, Rumney]
  • A. Rumney chosen
    Rumney is a district in the eastern part of Cardiff, Wales, situated near the mouth of the Rhymney River.
  • B. Rumney, New Hampshire
    Rumney, New Hampshire is a small town in Grafton County known for its rural character and popular rock-climbing cliffs at Rumney Rocks.
  • C. Siasconset
    Siasconset is a small, historic village on the eastern end of Nantucket Island in Massachusetts, known for its rose-covered cottages and scenic bluffs overlooking the Atlantic Ocean.
  • D. Moultonborough
    Moultonborough is a small town in Carroll County, New Hampshire, known for its scenic lakeside setting, historic sites, and outdoor recreation opportunities in the Lakes Region.
  • E. Wereham
    Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e694f788190a1c86e95264ed2fe completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170fb89248190ae431ce51dfeaffd completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.