Triple

T18053639
Position Surface form Disambiguated ID Type / Status
Subject Holocaust in Motal E431981 entity
Predicate location P40 FINISHED
Object Motal NE NERFINISHED

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: Motal | Statement: [Holocaust in Motal, location, Motal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motal
Context triple: [Holocaust in Motal, location, Motal]
  • A. Motal chosen
    Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
  • B. Mottama
    Mottama is a historic port town in southeastern Myanmar, long known as Martaban, which was once an important trading center in the region.
  • C. Moxhe
    Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
  • D. Mokre
    Mokre is a district of the town of Mikołów in southern Poland, situated in the Silesian region.
  • E. Mota
    Mota is an Oceanic language of northern Vanuatu, historically notable as a regional lingua franca and early mission language in the area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c100e7e4819084470c5b7fced334 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.