Triple

T20940883
Position Surface form Disambiguated ID Type / Status
Subject Kalta Minor Minaret E515715 entity
Predicate alsoKnownAs P39 FINISHED
Object Kalta Minor
Kalta Minor is a famously unfinished, turquoise-tiled minaret in the historic city of Khiva, Uzbekistan, known for its strikingly wide base and vivid glazed decoration.
E1457742 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: Kalta Minor | Statement: [Kalta Minor Minaret, alsoKnownAs, Kalta Minor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalta Minor
Context triple: [Kalta Minor Minaret, alsoKnownAs, Kalta Minor]
  • A. Kalyke
    Kalyke is a small, irregular, retrograde moon of Jupiter belonging to the planet’s distant outer group of natural satellites.
  • B. Kalsa
    Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
  • C. Kalyar
    Kalyar is a notable Sufi pilgrimage town in India associated with the Chishti Order and revered for its prominent dargah (shrine).
  • D. Klyntar
    Klyntar are an alien symbiote species in Marvel Comics known for bonding with hosts to enhance their abilities while often exerting a corrupting influence.
  • E. Kalkan
    Kalkan is a picturesque seaside town on Turkey’s Mediterranean coast, known for its historic architecture, steep cobbled streets, and upscale tourism.
  • 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: Kalta Minor
Triple: [Kalta Minor Minaret, alsoKnownAs, Kalta Minor]
Generated description
Kalta Minor is a famously unfinished, turquoise-tiled minaret in the historic city of Khiva, Uzbekistan, known for its strikingly wide base and vivid glazed decoration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kalta Minor
Target entity description: Kalta Minor is a famously unfinished, turquoise-tiled minaret in the historic city of Khiva, Uzbekistan, known for its strikingly wide base and vivid glazed decoration.
  • A. Kalyke
    Kalyke is a small, irregular, retrograde moon of Jupiter belonging to the planet’s distant outer group of natural satellites.
  • B. Kalsa
    Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
  • C. Kalyar
    Kalyar is a notable Sufi pilgrimage town in India associated with the Chishti Order and revered for its prominent dargah (shrine).
  • D. Klyntar
    Klyntar are an alien symbiote species in Marvel Comics known for bonding with hosts to enhance their abilities while often exerting a corrupting influence.
  • E. Kalkan
    Kalkan is a picturesque seaside town on Turkey’s Mediterranean coast, known for its historic architecture, steep cobbled streets, and upscale tourism.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f955f0148190ae42278ad5c0f363 completed April 21, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a091fd8a17c819089f7af8ff6048ece completed May 17, 2026, 1:54 a.m.
NEDg Description generation batch_6a09210bde4c8190841af0f9a29ecdd9 completed May 17, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a09217fdcd08190bc41700ec09851e1 completed May 17, 2026, 2:01 a.m.
Created at: April 16, 2026, 12:50 p.m.