Triple

T15589707
Position Surface form Disambiguated ID Type / Status
Subject Swiss Federal Institute of Metrology E374710 entity
Predicate abbreviation P43 FINISHED
Object METAS
METAS is Switzerland’s national metrology institute responsible for establishing and maintaining the country’s measurement standards and ensuring their international compatibility.
 E1165184 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: METAS | Statement: [Swiss Federal Institute of Metrology, abbreviation, METAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: METAS
Context triple: [Swiss Federal Institute of Metrology, abbreviation, METAS]
  • A. META
    META is a department in central Colombia known for its vast Llanos plains, cattle ranching, and oil production.
  • B. MET
    MET is the stock ticker symbol for MetLife, Inc., a major global provider of insurance, annuities, and employee benefit programs.
  • C. MET
    MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
  • D. metz
    Metz is a historic city in northeastern France known for its rich cultural heritage, Gothic Saint-Stephen Cathedral, and strategic location at the confluence of the Moselle and Seille rivers.
  • E. the Met
    The Met is the territorial police force responsible for law enforcement across Greater London, excluding the City of London.
  • 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: METAS
Triple: [Swiss Federal Institute of Metrology, abbreviation, METAS]
Generated description
METAS is Switzerland’s national metrology institute responsible for establishing and maintaining the country’s measurement standards and ensuring their international compatibility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: METAS
Target entity description: METAS is Switzerland’s national metrology institute responsible for establishing and maintaining the country’s measurement standards and ensuring their international compatibility.
  • A. META
    META is a department in central Colombia known for its vast Llanos plains, cattle ranching, and oil production.
  • B. MET
    MET is the stock ticker symbol for MetLife, Inc., a major global provider of insurance, annuities, and employee benefit programs.
  • C. MET
    MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
  • D. metz
    Metz is a historic city in northeastern France known for its rich cultural heritage, Gothic Saint-Stephen Cathedral, and strategic location at the confluence of the Moselle and Seille rivers.
  • E. the Met
    The Met is the territorial police force responsible for law enforcement across Greater London, excluding the City of London.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4a19708190936118d569f3436d completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c53617c8190b4367eee351dc025 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4d5de6ec8190ab82ac78bb70a432 completed May 9, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff4dd868388190a159618c1fdcf15c completed May 9, 2026, 3:08 p.m.
Created at: April 10, 2026, 4:11 a.m.