Triple

T14170586
Position Surface form Disambiguated ID Type / Status
Subject Isabella Jagiellon E351194 entity
Predicate residence P75 FINISHED
Object Lippa
Lippa is a historical town that served as one of the residences of Polish princess and Hungarian queen Isabella Jagiellon.
 E1084679 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: Lippa | Statement: [Isabella Jagiellon, residence, Lippa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lippa
Context triple: [Isabella Jagiellon, residence, Lippa]
  • A. Leppe
    Leppe is a small river in western Germany that flows through the hilly Bergisches Land region of North Rhine-Westphalia.
  • B. Libo
    Libo is an ancient Roman cognomen associated with members of the patrician Julii family.
  • C. Leipoa
    Leipoa is a bird genus in the megapode family best known for including the Australian malleefowl, a ground-dwelling species that incubates its eggs in large mounds of decomposing vegetation.
  • D. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • E. Lasbela
    Lasbela is a coastal district and city in Pakistan’s Balochistan province, known for its strategic location near Karachi and its mix of industrial, agricultural, and fishing activities.
  • 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: Lippa
Triple: [Isabella Jagiellon, residence, Lippa]
Generated description
Lippa is a historical town that served as one of the residences of Polish princess and Hungarian queen Isabella Jagiellon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lippa
Target entity description: Lippa is a historical town that served as one of the residences of Polish princess and Hungarian queen Isabella Jagiellon.
  • A. Leppe
    Leppe is a small river in western Germany that flows through the hilly Bergisches Land region of North Rhine-Westphalia.
  • B. Libo
    Libo is an ancient Roman cognomen associated with members of the patrician Julii family.
  • C. Leipoa
    Leipoa is a bird genus in the megapode family best known for including the Australian malleefowl, a ground-dwelling species that incubates its eggs in large mounds of decomposing vegetation.
  • D. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • E. Lasbela
    Lasbela is a coastal district and city in Pakistan’s Balochistan province, known for its strategic location near Karachi and its mix of industrial, agricultural, and fishing activities.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf808e6088190a607903be0f2adc7 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd09bad5b48190913aaba5dd2a509d completed May 7, 2026, 9:52 p.m.
NED2 Entity disambiguation (via description) batch_69fd0a7603848190a4b73971cb75f99e completed May 7, 2026, 9:56 p.m.
Created at: April 10, 2026, 1:01 a.m.