Triple

T14511246
Position Surface form Disambiguated ID Type / Status
Subject Al Daayen Municipality E340398 entity
Predicate contains P35 FINISHED
Object Lusail Marina E344289 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: Lusail Marina | Statement: [Al Daayen Municipality, contains, Lusail Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lusail Marina
Context triple: [Al Daayen Municipality, contains, Lusail Marina]
  • A. Lusail City chosen
    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.
  • B. Doha Sports City
    Doha Sports City is a major sports complex in Doha, Qatar, featuring world-class stadiums, training facilities, and venues that host international sporting events.
  • C. Yas Island
    Yas Island is a major leisure and entertainment destination in Abu Dhabi, United Arab Emirates, known for its theme parks, motorsport circuit, and luxury resorts.
  • D. The Pearl-Qatar marina
    The Pearl-Qatar marina is a luxury waterfront harbor in Doha known for its upscale yachts, residential towers, and vibrant dining and retail promenade.
  • E. Doha Bay
    Doha Bay is a prominent natural harbor along the coast of Doha, Qatar, known for its waterfront skyline and cultural landmarks.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6c6054819086b4c0ce1d83fdc5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94aa39c08190a265f7e23a2c1f0e completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:21 a.m.