Triple

T1330418
Position Surface form Disambiguated ID Type / Status
Subject AIST E28630 entity
Predicate acronym P43 FINISHED
Object AIST E28630 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: AIST | Statement: [AIST, acronym, AIST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIST
Context triple: [AIST, acronym, AIST]
  • A. AIST chosen
    AIST is a professional association that supports the global iron and steel industry through technology advancement, education, and networking among industry professionals.
  • B. AIP
    AIP is a leading U.S.-based professional organization that advances and disseminates knowledge in the physical sciences through research publications, education, and advocacy.
  • C. NEC Research Institute
    NEC Research Institute was a prominent industrial research center in Princeton, New Jersey, known for advanced work in computer science, machine learning, and related fields.
  • D. Ais
    The Ais were a Native American people who inhabited the Atlantic coast of what is now central and southeastern Florida prior to European colonization.
  • E. ASI
    ASI (Agenzia Spaziale Italiana) is the Italian Space Agency responsible for coordinating Italy’s space policy, research, and missions in collaboration with international partners.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c449bc8190acb6603a0ddac7fd completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf3593748190be52da4a586d69a5 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:55 p.m.