Triple

T6564487
Position Surface form Disambiguated ID Type / Status
Subject Aneityum E153867 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Anatom E603797 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: Anatom | Statement: [Aneityum, hasAlternativeSpelling, Anatom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anatom
Context triple: [Aneityum, hasAlternativeSpelling, Anatom]
  • A. Anatom chosen
    Anatom is a small island in the southernmost part of Vanuatu, known for its lush landscapes, coral reefs, and relatively undeveloped, traditional way of life.
  • B. ANAT
    ANAT is the standard time zone abbreviation for Anadyr Time, used in Russia’s far eastern Chukotka region.
  • C. Anat
    Anat is a prominent Canaanite war and fertility goddess known for her fierce martial prowess and protective role in the ancient Levantine pantheon.
  • D. ANAS
    ANAS is the primary state research institution in Azerbaijan, overseeing and coordinating scientific activities and academic research across the country.
  • E. ANAS
    ANAS is Italy’s national road agency responsible for the construction, maintenance, and management of much of the country’s road and motorway network.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3b9ec8819080f3052556d95810 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42523848190b02682e6a640ac05 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:52 p.m.