Triple

T13861927
Position Surface form Disambiguated ID Type / Status
Subject Isara E333218 entity
Predicate hasLatinName P3646 FINISHED
Object Isara E333218 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: Isara | Statement: [Isara, hasLatinName, Isara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isara
Context triple: [Isara, hasLatinName, Isara]
  • A. Isara chosen
    Isara is the Latin name for the Isar River, a major waterway flowing through the Alps and the city of Munich in Germany.
  • B. Sasin
    Sasin is a leading graduate business school based in Bangkok, Thailand, known for its MBA and executive education programs.
  • C. Jitra
    Jitra is a town in the state of Kedah in northern Peninsular Malaysia, historically noted as the site of a major World War II battle between British Commonwealth and Japanese forces.
  • D. Sasima
    Sasima was an obscure town in ancient Cappadocia, best known as the short-lived and reluctant episcopal see of Gregory of Nazianzus in the 4th century.
  • E. Khatai
    Khatai was the poetic pen name of Shah Ismail I, the founder of the Safavid dynasty and an influential Azerbaijani-Turkic poet.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c20db88190acb842748aa01039 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ff1f78819088ae58f703e2c9ff completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.