Triple

T7435324
Position Surface form Disambiguated ID Type / Status
Subject Parliament of Nauru E171597 entity
Predicate location P40 FINISHED
Object Yaren District E171595 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: Yaren District | Statement: [Parliament of Nauru, location, Yaren District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaren District
Context triple: [Parliament of Nauru, location, Yaren District]
  • A. Yaren District chosen
    Yaren District is the de facto capital and main administrative center of the Pacific island nation of Nauru.
  • B. Atabey District
    Atabey District is an administrative district in Turkey’s Isparta Province, known as the birthplace of former Turkish President Süleyman Demirel.
  • C. Bornova district
    Bornova district is a populous urban area and important residential, commercial, and educational hub within the city of İzmir, Turkey.
  • D. Bayanzürkh District
    Bayanzürkh District is one of the central administrative districts of Ulaanbaatar, Mongolia, known for its dense residential areas and growing commercial zones.
  • E. Konak district
    Konak district is the central urban and administrative heart of İzmir, Turkey, known for its historic landmarks, bustling waterfront, and role as the city’s main commercial and cultural hub.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f328cf6081908bea065639fd3620 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83449b84c81909167f29e901c0881 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:13 p.m.