Triple

T19927358
Position Surface form Disambiguated ID Type / Status
Subject Medical University E478959 entity
Predicate hasFormerName P65 FINISHED
Object Komkavshiri
Komkavshiri is the former name of a medical university, historically used before the institution adopted its current title.
E1403148 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: Komkavshiri | Statement: [Medical University, hasFormerName, Komkavshiri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Komkavshiri
Context triple: [Medical University, hasFormerName, Komkavshiri]
  • A. Kavim
    Kavim is a crime novel by Turkish author Ahmet Ümit that blends detective fiction with social and political themes in contemporary Turkey.
  • B. Kavastu
    Kavastu is a small village in eastern Estonia known for its historic cable ferry crossing over the Emajõgi River.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Kudirka
    Kudirka is a Lithuanian surname most notably borne by Vincas Kudirka, the author of Lithuania’s national anthem and a key figure in the Lithuanian national revival.
  • E. Kishar
    Kishar is a primordial Mesopotamian earth goddess associated with the horizon and paired with the sky god Anshar in ancient creation myths.
  • 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: Komkavshiri
Triple: [Medical University, hasFormerName, Komkavshiri]
Generated description
Komkavshiri is the former name of a medical university, historically used before the institution adopted its current title.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Komkavshiri
Target entity description: Komkavshiri is the former name of a medical university, historically used before the institution adopted its current title.
  • A. Kavim
    Kavim is a crime novel by Turkish author Ahmet Ümit that blends detective fiction with social and political themes in contemporary Turkey.
  • B. Kavastu
    Kavastu is a small village in eastern Estonia known for its historic cable ferry crossing over the Emajõgi River.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Kudirka
    Kudirka is a Lithuanian surname most notably borne by Vincas Kudirka, the author of Lithuania’s national anthem and a key figure in the Lithuanian national revival.
  • E. Kishar
    Kishar is a primordial Mesopotamian earth goddess associated with the horizon and paired with the sky god Anshar in ancient creation myths.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659cc1a448190aa98d4a66022457e completed April 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6e1e0308190bdc79950739d83f3 completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f8cbaab88190816f279bb29e27f2 completed May 16, 2026, 4:55 a.m.
NED2 Entity disambiguation (via description) batch_6a07f95e72788190ad4105dc21af48b6 completed May 16, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:53 p.m.