Triple

T15222964
Position Surface form Disambiguated ID Type / Status
Subject EMBO Molecular Medicine E363805 entity
Predicate hasAbbreviation P43 FINISHED
Object EMM
EMM is a peer-reviewed scientific journal focusing on translational and molecular medicine research.
 E1145865 NE FINISHED

How this triple was built (4 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: EMM | Statement: [EMBO Molecular Medicine, hasAbbreviation, EMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EMM
Context triple: [EMBO Molecular Medicine, hasAbbreviation, EMM]
  • A. Emm
    Emm is the surname associated with Richard Dawson, indicating his family name or ancestral lineage.
  • B. EME
    EME is the abbreviated name for the Spanish Army Staff, the top command and planning body of Spain’s land forces.
  • C. EMMI
    EMMI is a multi-mode optical instrument used for imaging and spectroscopy on the NTT 3.58 m Telescope at the La Silla Observatory.
  • D. EMB
    EMB is the Environmental Management Bureau, a government agency responsible for formulating and enforcing environmental policies, regulations, and programs.
  • E. EMCC
    EMCC is a public community college in Bangor, Maine, offering two-year degree and certificate programs focused on career and technical education.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: EMM
Triple: [EMBO Molecular Medicine, hasAbbreviation, EMM]
Generated description
EMM is a peer-reviewed scientific journal focusing on translational and molecular medicine research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EMM
Target entity description: EMM is a peer-reviewed scientific journal focusing on translational and molecular medicine research.
  • A. Emm
    Emm is the surname associated with Richard Dawson, indicating his family name or ancestral lineage.
  • B. EME
    EME is the abbreviated name for the Spanish Army Staff, the top command and planning body of Spain’s land forces.
  • C. EMMI
    EMMI is a multi-mode optical instrument used for imaging and spectroscopy on the NTT 3.58 m Telescope at the La Silla Observatory.
  • D. EMB
    EMB is the Environmental Management Bureau, a government agency responsible for formulating and enforcing environmental policies, regulations, and programs.
  • E. EMCC
    EMCC is a public community college in Bangor, Maine, offering two-year degree and certificate programs focused on career and technical education.
  • F. None of above. chosen

Provenance (5 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078a9318819081db3b7bcc28e04f completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3397a48190bae8b2a359ee4ae8 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf8589888190b705177fc6efdde0 completed May 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69fee0e3fc9881909f67a86d67a3f61b completed May 9, 2026, 7:23 a.m.
Created at: April 10, 2026, 3:12 a.m.