Triple

T17752375
Position Surface form Disambiguated ID Type / Status
Subject NB8 E443144 entity
Predicate hasMember P10 FINISHED
Object Iceland E8117 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: Iceland | Statement: [NB8, hasMember, Iceland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iceland
Context triple: [NB8, hasMember, Iceland]
  • A. Iceland chosen
    Iceland is a Nordic island nation in the North Atlantic known for its dramatic volcanic landscapes, geothermal activity, and high standard of living.
  • B. Das Island
    Das Island is a small but strategically important offshore island in the Persian Gulf that serves as a major oil and gas processing and export hub for the United Arab Emirates.
  • C. Greenland and Iceland
    Greenland and Iceland are two large North Atlantic islands, one mostly ice-covered and sparsely populated and the other more geologically active and temperate, that lie between the Arctic and Europe.
  • D. Vozrozhdeniya Island
    Vozrozhdeniya Island is a former island in the Aral Sea, notorious as a major Soviet biological weapons testing site and now largely connected to the mainland due to the sea’s shrinkage.
  • E. Népsziget island
    Népsziget island is a recreational Danube island in northern Budapest known for its green spaces, riverside paths, and leisure facilities.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841b3ccc8190b3241b3e0fa4b2e8 completed April 19, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0243067e6c8190b94113eb4785faae completed May 11, 2026, 8:58 p.m.
Created at: April 10, 2026, 10:10 a.m.