Triple

T19513811
Position Surface form Disambiguated ID Type / Status
Subject Al Ras Metro Station E488223 entity
Predicate hasNearbyFacility P5648 FINISHED
Object gold souk 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: gold souk | Statement: [Al Ras Metro Station, hasNearbyFacility, gold souk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: gold souk
Context triple: [Al Ras Metro Station, hasNearbyFacility, gold souk]
  • A. Gold Souq
    Gold Souq is a traditional market area in Doha renowned for its numerous shops selling gold jewelry and other precious ornaments.
  • B. Dubai Gold Souk chosen
    Dubai Gold Souk is a famous traditional market in Dubai renowned for its dense concentration of shops selling gold, jewelry, and precious stones.
  • C. gold daric
    The gold daric was a high-purity Persian gold coin of the Achaemenid Empire, widely used across its territories as a major trade and payment currency.
  • D. Souk Naamane
    Souk Naamane is a town and commune located in northeastern Algeria within Oum El Bouaghi Province.
  • E. GOLD
    GOLD is the radio call sign historically used by the British royal yacht HMY Britannia.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63599c17881909a392a6026e45955 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.