Triple

T17628189
Position Surface form Disambiguated ID Type / Status
Subject Saran district E429903 entity
Predicate historicalRegion P915 FINISHED
Object Saran 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: Saran | Statement: [Saran district, historicalRegion, Saran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saran
Context triple: [Saran district, historicalRegion, Saran]
  • A. Saran
    Saran is an industrial city in central Kazakhstan known for its coal mining and related heavy industries.
  • B. Saran chosen
    Saran is a commune in north-central France located in the Loiret department, near the city of Orléans.
  • C. Sarz
    Sarz is a Nigerian record producer and songwriter renowned for crafting hit Afrobeats tracks for major artists across Africa.
  • D. SARON
    SARON is a Swiss franc overnight reference interest rate used as a robust alternative to LIBOR in financial markets.
  • E. Sar
    Sar is the family name of Pol Pot, the Cambodian revolutionary leader and dictator who headed the Khmer Rouge regime responsible for the Cambodian genocide.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbe3a308190a818d04f1a9b15f7 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.