Triple

T4122979
Position Surface form Disambiguated ID Type / Status
Subject Bahraini dinar E92656 entity
Predicate usedIn P98 FINISHED
Object Sitra E107574 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: Sitra | Statement: [Bahraini dinar, usedIn, Sitra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sitra
Context triple: [Bahraini dinar, usedIn, Sitra]
  • A. Sitra chosen
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • B. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • C. Sutrio
    Sutrio is a small village in Italy’s Friuli-Venezia Giulia region, known as a traditional Alpine community and a base for accessing the nearby Monte Zoncolan ski and cycling area.
  • D. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • E. Setra
    Setra is a German brand of premium coaches and buses known for its high-quality engineering and comfort, produced by Daimler AG.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af020728a08190a50a16b40690cbce completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b405548190affdd8bb108995b1 completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:41 p.m.