Triple

T18432188
Position Surface form Disambiguated ID Type / Status
Subject Karama E450297 entity
Predicate hasLandmark P105 FINISHED
Object Karama Centre NE NERFINISHED

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: Karama Centre | Statement: [Karama, hasLandmark, Karama Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karama Centre
Context triple: [Karama, hasLandmark, Karama Centre]
  • A. Karama
    Karama is a densely populated residential and commercial district in Dubai known for its affordable shopping, diverse expatriate community, and vibrant street life.
  • B. Karama
    Karama is a residential suburb located in the northern Australian city of Darwin, known for its diverse community and proximity to key urban amenities.
  • C. Karama Market chosen
    Karama Market is a popular bargain shopping district in Dubai known for its dense collection of small shops selling inexpensive clothing, accessories, souvenirs, and imitation designer goods.
  • D. Karama Bus Station
    Karama Bus Station is a key public transport hub serving the busy residential and commercial district of Karama in Dubai, United Arab Emirates.
  • E. Issawiya neighborhood
    Issawiya neighborhood is a Palestinian residential area in East Jerusalem known for its dense urban fabric, socio-political tensions, and proximity to major institutions on Mount Scopus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b1771788190b26afdf65e9de502 completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 11:26 a.m.