Triple

T1297696
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts Eye and Ear E27690 entity
Predicate shortName P43 FINISHED
Object MEEI E27690 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: MEEI | Statement: [Massachusetts Eye and Ear, shortName, MEEI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MEEI
Context triple: [Massachusetts Eye and Ear, shortName, MEEI]
  • A. MEEI chosen
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • B. MOE
    MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
  • C. Muh-he-con-neok
    Muh-he-con-neok is an alternative historical name for the Mahican, a Native American people originally from the Hudson River Valley region.
  • D. MKI
    MKI is the abbreviated name for the Kavli Institute for Astrophysics and Space Research, a leading research center focused on the study of the universe through observational and theoretical astrophysics.
  • E. MIA
    MIA is the UN/LOCODE designation for Miami, a major coastal city and transportation hub in the U.S. state of Florida.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f6bc90819094cad5d62550ea19 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc4078081908ba799745ce442ae completed March 7, 2026, 10:55 p.m.
Created at: March 1, 2026, 7:51 p.m.