Triple

T13839835
Position Surface form Disambiguated ID Type / Status
Subject EMES E332626 entity
Predicate hasAbbreviation P43 FINISHED
Object EMES E332626 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: EMES | Statement: [EMES, hasAbbreviation, EMES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EMES
Context triple: [EMES, hasAbbreviation, EMES]
  • A. EMES chosen
    EMES is the abbreviated name for the Europe and Middle East Section, an organizational division focused on activities and interests spanning those two regions.
  • B. ESMD
    ESMD is the former NASA directorate responsible for developing human and robotic exploration systems for missions beyond low Earth orbit.
  • C. EMB
    EMB is the Environmental Management Bureau, a government agency responsible for formulating and enforcing environmental policies, regulations, and programs.
  • D. EME
    EME is the abbreviated name for the Spanish Army Staff, the top command and planning body of Spain’s land forces.
  • E. ESM
    ESM is the abbreviation for NASA’s Exceptional Service Medal, an honor awarded to individuals for significant, sustained contributions to the agency’s mission.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ae5e4c8190ad85ad2968bc71b2 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f630d081909439e1cdc5d60430 completed May 3, 2026, 9:07 p.m.
Created at: April 9, 2026, 10:13 p.m.