Triple

T14168501
Position Surface form Disambiguated ID Type / Status
Subject Tsageri Municipality E351141 entity
Predicate hasRegionCode P3446 FINISHED
Object GE-RL
GE-RL is the regional code used to identify Tsageri Municipality within Georgia’s administrative system.
 E1082875 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: GE-RL | Statement: [Tsageri Municipality, hasRegionCode, GE-RL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GE-RL
Context triple: [Tsageri Municipality, hasRegionCode, GE-RL]
  • A. GEG
    GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
  • B. GEC
    GEC is the ICAO airline designator used by Lufthansa Cargo, the air freight division of Lufthansa.
  • C. Gaeml
    Gaeml is the self-designated name used by speakers of the Kam language, a Tai–Kadai language spoken primarily in southern China.
  • D. DRL
    DRL is the U.S. State Department bureau responsible for promoting democracy, protecting human rights, and advancing labor rights worldwide.
  • E. GEU
    GEU is an Indian higher education institution known for its engineering, technology, and management programs, officially recognized as Graphic Era Deemed to be University.
  • 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: GE-RL
Triple: [Tsageri Municipality, hasRegionCode, GE-RL]
Generated description
GE-RL is the regional code used to identify Tsageri Municipality within Georgia’s administrative system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GE-RL
Target entity description: GE-RL is the regional code used to identify Tsageri Municipality within Georgia’s administrative system.
  • A. GEG
    GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
  • B. GEC
    GEC is the ICAO airline designator used by Lufthansa Cargo, the air freight division of Lufthansa.
  • C. Gaeml
    Gaeml is the self-designated name used by speakers of the Kam language, a Tai–Kadai language spoken primarily in southern China.
  • D. DRL
    DRL is the U.S. State Department bureau responsible for promoting democracy, protecting human rights, and advancing labor rights worldwide.
  • E. GEU
    GEU is an Indian higher education institution known for its engineering, technology, and management programs, officially recognized as Graphic Era Deemed to be University.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fcf8bb58ac81908e66156a805edda8 completed May 7, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69fcf93b528c81908c0ee11908d25574 completed May 7, 2026, 8:42 p.m.
Created at: April 10, 2026, 1 a.m.