Triple

T2899666
Position Surface form Disambiguated ID Type / Status
Subject Corniche, Abu Dhabi E62624 entity
Predicate hasPart P35 FINISHED
Object Corniche Beach E62624 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: Corniche Beach | Statement: [Corniche, Abu Dhabi, hasPart, Corniche Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corniche Beach
Context triple: [Corniche, Abu Dhabi, hasPart, Corniche Beach]
  • A. Corniche
    Corniche is a prominent waterfront promenade in Doha, Qatar, known for its scenic views of the city skyline and Doha Bay.
  • B. Corniche chosen
    Corniche is a famous waterfront promenade in Abu Dhabi known for its beaches, parks, and scenic views of the city’s skyline.
  • C. Yas Beach
    Yas Beach is a popular leisure destination on Abu Dhabi’s Yas Island, offering a sandy shoreline, watersports, and beachside dining.
  • D. Colva Beach
    Colva Beach is a well-known tourist beach in South Goa, India, famed for its long stretch of white sand, palm-lined shore, and vibrant seaside atmosphere.
  • E. Long Bay Beach
    Long Bay Beach is a tranquil, shallow-water beach on the island of Providenciales in Turks and Caicos, popular for kiteboarding and its calm, turquoise sea.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0ad7bbc8190822738baa6935b74 completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0318c544881909f6aabfb2d25e724 completed March 10, 2026, 2:58 p.m.
Created at: March 6, 2026, 10:10 p.m.