Triple

T13605046
Position Surface form Disambiguated ID Type / Status
Subject École nationale supérieure de mécanique et des microtechniques E325038 entity
Predicate hasAcronym P43 FINISHED
Object ENSMM
ENSMM is a French grande école of engineering in Besançon specializing in mechanics, microtechnology, and related high-precision fields.
 E1050112 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: ENSMM | Statement: [École nationale supérieure de mécanique et des microtechniques, hasAcronym, ENSMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENSMM
Context triple: [École nationale supérieure de mécanique et des microtechniques, hasAcronym, ENSMM]
  • A. MMSM
    MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
  • B. ESMD
    ESMD is the former NASA directorate responsible for developing human and robotic exploration systems for missions beyond low Earth orbit.
  • C. NMM
    NMM is the IATA airport code for Naval Air Station Meridian, a U.S. Navy air training facility in Mississippi.
  • D. EITMM
    EITMM is the abbreviated name for the Ensemble Immobilier Tour Maine-Montparnasse, a major high-rise complex centered around the Montparnasse Tower in Paris.
  • E. SMMC
    SMMC is the highest-ranking enlisted Marine who serves as the senior enlisted advisor to the Commandant of the United States Marine Corps.
  • 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: ENSMM
Triple: [École nationale supérieure de mécanique et des microtechniques, hasAcronym, ENSMM]
Generated description
ENSMM is a French grande école of engineering in Besançon specializing in mechanics, microtechnology, and related high-precision fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENSMM
Target entity description: ENSMM is a French grande école of engineering in Besançon specializing in mechanics, microtechnology, and related high-precision fields.
  • A. MMSM
    MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
  • B. ESMD
    ESMD is the former NASA directorate responsible for developing human and robotic exploration systems for missions beyond low Earth orbit.
  • C. NMM
    NMM is the IATA airport code for Naval Air Station Meridian, a U.S. Navy air training facility in Mississippi.
  • D. EITMM
    EITMM is the abbreviated name for the Ensemble Immobilier Tour Maine-Montparnasse, a major high-rise complex centered around the Montparnasse Tower in Paris.
  • E. SMMC
    SMMC is the highest-ranking enlisted Marine who serves as the senior enlisted advisor to the Commandant of the United States Marine Corps.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f93ec588190993baec788d22670 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f780bc40f481908191fec9a563e547 completed May 3, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_69f7817b8c408190b7211ba8fd892f75 completed May 3, 2026, 5:10 p.m.
Created at: April 9, 2026, 9:50 p.m.