Triple

T4718012
Position Surface form Disambiguated ID Type / Status
Subject Isle of Mull E104695 entity
Predicate hasNearbyIsland P970 FINISHED
Object Ulva E118721 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: Ulva | Statement: [Isle of Mull, hasNearbyIsland, Ulva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulva
Context triple: [Isle of Mull, hasNearbyIsland, Ulva]
  • A. Ulva chosen
    Ulva is a small, sparsely populated island off the west coast of Scotland, known for its rugged landscapes, wildlife, and historic connections to the Hebrides.
  • B. Relva
    Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • C. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • D. Sinnuris
    Sinnuris is a town and administrative center located in Egypt’s Faiyum Governorate, known for its agricultural surroundings and proximity to Lake Qarun.
  • E. Renaelva
    Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64261af08190b0d5d86b0e7bacc0 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be108bc0048190aeea8674f75105e5 completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:18 p.m.