Triple

T1405340
Position Surface form Disambiguated ID Type / Status
Subject .pl E31678 entity
Predicate sponsor P67 FINISHED
Object NASK E162337 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: NASK | Statement: [.pl, sponsor, NASK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NASK
Context triple: [.pl, sponsor, NASK]
  • A. NASK chosen
    NASK is Poland’s national research and development institution responsible for managing the .pl country-code top-level domain and providing internet infrastructure and cybersecurity services.
  • B. NNSC
    NNSC is an international body established after the Korean War to monitor and supervise the implementation of the armistice agreement between North and South Korea.
  • C. AIST
    AIST is a professional association that supports the global iron and steel industry through technology advancement, education, and networking among industry professionals.
  • D. Indian National Science Academy
    The Indian National Science Academy is a premier national body in India dedicated to promoting scientific research, recognizing outstanding scientists, and providing science-based policy advice.
  • E. Korea Aerospace Research Institute
    The Korea Aerospace Research Institute is South Korea’s national space agency responsible for developing and managing the country’s space and aerospace technologies, including satellites and launch vehicles.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bc55a08190a4dfe13a5378aff3 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015839908190b7f9f6c79dcc0367 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.