Triple

T12823227
Position Surface form Disambiguated ID Type / Status
Subject Doha Corniche E306583 entity
Predicate hasView P854 FINISHED
Object Doha skyline E12693 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: Doha skyline | Statement: [Doha Corniche, hasView, Doha skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doha skyline
Context triple: [Doha Corniche, hasView, Doha skyline]
  • A. Doha Corniche
    Doha Corniche is a prominent waterfront promenade in Doha, Qatar, known for its scenic views of the city skyline and the bay, and as a popular spot for leisure and cultural landmarks.
  • B. West Bay, Doha
    West Bay, Doha is a prominent coastal district of Qatar’s capital city, known for its modern skyline, luxury hotels, and commercial and residential high-rises.
  • C. Lusail City
    Lusail City is a modern planned coastal city in Qatar known for its futuristic architecture, large-scale developments, and role as a major venue during the 2022 FIFA World Cup.
  • D. Doha chosen
    Doha is the rapidly developing capital and largest city of Qatar, known for its modern skyline, cultural institutions, and role as a major political and economic center in the Arab world.
  • E. Al-Doha
    Al-Doha is a Palestinian town located in the Bethlehem Governorate of the West Bank.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9fcc8c8190a926ab0481d28f14 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5466d988190ae0df2f4058287a1 completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:32 p.m.