Triple

T3679842
Position Surface form Disambiguated ID Type / Status
Subject Little Diomede Island E78083 entity
Predicate primarySettlement P13187 FINISHED
Object Diomede E290440 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: Diomede | Statement: [Little Diomede Island, primarySettlement, Diomede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diomede
Context triple: [Little Diomede Island, primarySettlement, Diomede]
  • A. Diomede chosen
    Diomede is a Greek warrior in medieval retellings of the Trojan War, notably portrayed as a rival lover to Troilus for Criseyde’s affections.
  • B. Hera Lacinia
    Hera Lacinia is an epithet and cult title of the Greek goddess Hera, particularly venerated at a major sanctuary near the ancient city of Croton in Magna Graecia.
  • C. Naousa
    Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
  • D. Peris
    Peris is a surname and given name found in various cultures, often considered a variant of the name Peres.
  • E. Navigo
    Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc49039308190b33082e2b58aa5cf completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3ae61908190beefd0df317b5eca completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:25 p.m.