Triple

T15839691
Position Surface form Disambiguated ID Type / Status
Subject Ginga E384068 entity
Predicate spaceAgency P10670 FINISHED
Object ISAS E1179672 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: ISAS | Statement: [Ginga, spaceAgency, ISAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISAS
Context triple: [Ginga, spaceAgency, ISAS]
  • A. ISAS chosen
    ISAS (Institute of Space and Astronautical Science) is a Japanese research institute specializing in space and planetary science, now part of the Japan Aerospace Exploration Agency (JAXA).
  • B. IASA
    IASA is a major 1994 U.S. federal education law that reauthorized and reformed the Elementary and Secondary Education Act to raise academic standards and accountability in public schools.
  • C. IAIS
    IAIS is the reporting mark for the Iowa Interstate Railroad, a regional freight railroad operating primarily in Iowa and Illinois.
  • D. IAIS
    IAIS is a global standard-setting body that brings together insurance regulators and supervisors to promote effective and consistent supervision of the insurance industry worldwide.
  • E. IAS
    IAS is India’s premier civil service responsible for administrative leadership and implementation of government policies at the central and state levels.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e69360819091ea0556bd66d785 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03ac77081908f2b169d7d26b318 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:49 a.m.