Triple

T14366514
Position Surface form Disambiguated ID Type / Status
Subject Golden Masjid E356247 entity
Predicate locatedIn P40 FINISHED
Object Katara E68768 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: Katara | Statement: [Golden Masjid, locatedIn, Katara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katara
Context triple: [Golden Masjid, locatedIn, Katara]
  • A. Katara
    Katara is a central protagonist in the animated series "Avatar: The Last Airbender," known as a compassionate and determined waterbender from the Southern Water Tribe.
  • B. Katara Cultural Village chosen
    Katara Cultural Village is a major cultural and artistic complex in Doha, Qatar, featuring theaters, galleries, performance venues, and public spaces that host festivals and events celebrating local and global cultures.
  • C. Al Jahadir
    Al Jahadir is an Arab subtribe belonging to the larger Qahtan tribal confederation, traditionally associated with the southern Arabian Peninsula.
  • D. Al Nairyah
    Al Nairyah is a town in Saudi Arabia located in the kingdom’s oil-rich Eastern Province.
  • E. Manara
    Manara is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade and iconic lighthouse.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4fa3788190b7fa5c34620c3ada completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.