Triple

T10879531
Position Surface form Disambiguated ID Type / Status
Subject Main Operations Directorate E256884 entity
Predicate hasAbbreviation P43 FINISHED
Object GOU
GOU is the Russian abbreviation for the Main Operations Directorate, the key operational command and planning body of the Russian General Staff.
 E890383 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: GOU | Statement: [Main Operations Directorate, hasAbbreviation, GOU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GOU
Context triple: [Main Operations Directorate, hasAbbreviation, GOU]
  • A. GOO
    GOO is the National Rail station code for Goole railway station in the East Riding of Yorkshire, England.
  • B. GOS
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • C. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • D. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • E. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • 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: GOU
Triple: [Main Operations Directorate, hasAbbreviation, GOU]
Generated description
GOU is the Russian abbreviation for the Main Operations Directorate, the key operational command and planning body of the Russian General Staff.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GOU
Target entity description: GOU is the Russian abbreviation for the Main Operations Directorate, the key operational command and planning body of the Russian General Staff.
  • A. GOO
    GOO is the National Rail station code for Goole railway station in the East Riding of Yorkshire, England.
  • B. GOS
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • C. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • D. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • E. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751af50448190906b47c16878208f completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7e2322c8190a55605237ae6ce95 completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e002709d38819099c4402d30824612 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e005873ba48190b8c24c77611562fa completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.