Triple

T5116399
Position Surface form Disambiguated ID Type / Status
Subject Khevsureti E115345 entity
Predicate contains P35 FINISHED
Object Mutso
Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
 E493315 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: Mutso | Statement: [Khevsureti, contains, Mutso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mutso
Context triple: [Khevsureti, contains, Mutso]
  • A. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • B. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • C. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • D. Mihos
    Mihos is an ancient Egyptian lion-headed god associated with war and protection, venerated as a son of the feline goddess Bastet.
  • E. Mutoko
    Mutoko is a town in northeastern Zimbabwe known as a commercial and administrative center for the surrounding rural district in Mashonaland.
  • 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: Mutso
Triple: [Khevsureti, contains, Mutso]
Generated description
Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mutso
Target entity description: Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • A. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • B. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • C. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • D. Mihos
    Mihos is an ancient Egyptian lion-headed god associated with war and protection, venerated as a son of the feline goddess Bastet.
  • E. Mutoko
    Mutoko is a town in northeastern Zimbabwe known as a commercial and administrative center for the surrounding rural district in Mashonaland.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75cfa9f88190aa7dfd264e554899 completed March 20, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bebaafd674819080b751216e5b6f70 completed March 21, 2026, 3:35 p.m.
NEDg Description generation batch_69bebb27171481909492cad522ac143b completed March 21, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69bebc71065881908b27a2808fc4e630 completed March 21, 2026, 3:42 p.m.
Created at: March 20, 2026, 1:41 p.m.