Triple

T12528006
Position Surface form Disambiguated ID Type / Status
Subject HLA E299487 entity
Predicate locatedIn P40 FINISHED
Object Lanseria E301394 NE FINISHED

How this triple was built (2 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: Lanseria | Statement: [HLA, locatedIn, Lanseria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanseria
Context triple: [HLA, locatedIn, Lanseria]
  • A. Lanseria chosen
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • B. Lobamba
    Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
  • C. Omkara
    Omkara is a critically acclaimed 2006 Indian crime drama film directed by Vishal Bhardwaj, adapted from Shakespeare’s Othello and known for its intense performances and rustic Uttar Pradesh setting.
  • D. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • E. Pilani
    Pilani is a town in the Jhunjhunu district of Rajasthan, India, best known as an educational hub and the location of the Birla Institute of Technology and Science (BITS Pilani).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545e90948190980bd4d64964a0f2 completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc674e881908673e1f9103cc8be completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.