Triple

T902811
Position Surface form Disambiguated ID Type / Status
Subject Sonia Gandhi E19481 entity
Predicate placeOfBirth P1 FINISHED
Object Lusiana
Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
 E134632 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: Lusiana | Statement: [Sonia Gandhi, placeOfBirth, Lusiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lusiana
Context triple: [Sonia Gandhi, placeOfBirth, Lusiana]
  • A. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • B. Lilangeni
    The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
  • C. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • D. The Mara
    The Mara is a quick-service restaurant at Disney’s Animal Kingdom Lodge offering African-inspired and American dishes in a casual setting.
  • E. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • 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: Lusiana
Triple: [Sonia Gandhi, placeOfBirth, Lusiana]
Generated description
Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lusiana
Target entity description: Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • A. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • B. Lilangeni
    The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
  • C. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • D. The Mara
    The Mara is a quick-service restaurant at Disney’s Animal Kingdom Lodge offering African-inspired and American dishes in a casual setting.
  • E. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad56f4c08190a7a5091ff0eb3209 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f023de4819099af23a8d30cb96f completed March 7, 2026, 6:31 p.m.
NEDg Description generation batch_69ac6f9c0da48190b8d5615ba582366c completed March 7, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69ac7009b52c8190a6f6962cf60de92d completed March 7, 2026, 6:35 p.m.
Created at: March 1, 2026, 7:39 p.m.