Triple

T15517546
Position Surface form Disambiguated ID Type / Status
Subject Bamir Topi E368871 entity
Predicate familyName P18 FINISHED
Object Topi
Topi is an Albanian surname most notably borne by Bamir Topi, a former President of Albania.
 E1162057 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: Topi | Statement: [Bamir Topi, familyName, Topi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Topi
Context triple: [Bamir Topi, familyName, Topi]
  • A. Topi
    Topi is a town in Pakistan’s Khyber Pakhtunkhwa province, known for hosting the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI).
  • B. Michi
    Michi is a diminutive or affectionate nickname commonly used for the given name Michiel.
  • C. Guga
    Guga is the popular nickname of Brazilian former tennis star Gustavo Kuerten, a three-time French Open champion known for his charismatic personality and clay-court prowess.
  • D. Jip
    Jip is a central character in the British cult film "Human Traffic," known for his introspective narration and exploration of youth culture and clubbing in late-1990s Cardiff.
  • E. Jip
    Jip is the loyal and sharp-eared dog companion of Doctor Dolittle in Hugh Lofting’s classic children’s book series.
  • 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: Topi
Triple: [Bamir Topi, familyName, Topi]
Generated description
Topi is an Albanian surname most notably borne by Bamir Topi, a former President of Albania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Topi
Target entity description: Topi is an Albanian surname most notably borne by Bamir Topi, a former President of Albania.
  • A. Topi
    Topi is a town in Pakistan’s Khyber Pakhtunkhwa province, known for hosting the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI).
  • B. Michi
    Michi is a diminutive or affectionate nickname commonly used for the given name Michiel.
  • C. Guga
    Guga is the popular nickname of Brazilian former tennis star Gustavo Kuerten, a three-time French Open champion known for his charismatic personality and clay-court prowess.
  • D. Jip
    Jip is a central character in the British cult film "Human Traffic," known for his introspective narration and exploration of youth culture and clubbing in late-1990s Cardiff.
  • E. Jip
    Jip is the loyal and sharp-eared dog companion of Doctor Dolittle in Hugh Lofting’s classic children’s book series.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04033303c8190a87b6384f68a6921 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5111648190a61fc87170b0d93c completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3f075bb881908c254137ca7c3f9f completed May 9, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff3f87f788819080eccae52b0df145 completed May 9, 2026, 2:07 p.m.
Created at: April 10, 2026, 4:03 a.m.