Triple

T17066795
Position Surface form Disambiguated ID Type / Status
Subject Al Alam Palace E414108 entity
Predicate locatedIn P40 FINISHED
Object Muscat E15312 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: Muscat | Statement: [Al Alam Palace, locatedIn, Muscat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muscat
Context triple: [Al Alam Palace, locatedIn, Muscat]
  • A. Muscat chosen
    Muscat is the capital and largest city of Oman, known for its historic port, white-washed architecture, and strategic location on the Gulf of Oman.
  • B. Muscat
    Muscat is a highly aromatic family of grape varieties known for producing sweet, floral, and musky wines in many wine regions around the world.
  • C. Salalah
    Salalah is a coastal city in southern Oman known for its monsoon-cooled climate, lush green landscapes, and role as a regional tourism and commercial hub.
  • D. Ash Shihr
    Ash Shihr is a coastal town in eastern Yemen historically known as a key port and commercial center in the Hadhramaut region.
  • E. Sanaʽa
    Sanaʽa is the historic capital and one of the largest cities of Yemen, renowned for its ancient architecture and cultural significance in the Arabian Peninsula.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db8171348190ab68d2e4f05f7120 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0123509e1481908cfc304b02fe8632 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.