Triple

T10359813
Position Surface form Disambiguated ID Type / Status
Subject Amar-Sin E244103 entity
Predicate alternateName P39 FINISHED
Object Amar-Suen E765146 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: Amar-Suen | Statement: [Amar-Sin, alternateName, Amar-Suen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amar-Suen
Context triple: [Amar-Sin, alternateName, Amar-Suen]
  • A. Amares
    Amares is a municipality in northern Portugal known for its rural landscapes, historical churches, and proximity to the city of Braga in the Minho region.
  • B. Amar'e
    Amar'e is a retired American professional basketball player best known as an explosive All-Star power forward in the NBA, primarily with the Phoenix Suns and New York Knicks.
  • C. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • D. Suen chosen
    Suen is the Sumerian moon god, later known as Sin in Akkadian mythology, associated with the lunar cycle, wisdom, and divination.
  • E. Sojitra
    Sojitra is a town in the Anand district of Gujarat, India, known for its agricultural surroundings and local dairy-based economy.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9609c4481908b7d72ecf1adaa73 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750b6ef248190bdbe16bbb8efcf88 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:59 a.m.