Triple

T6322636
Position Surface form Disambiguated ID Type / Status
Subject Newport Beach E141779 entity
Predicate hasLandmark P105 FINISHED
Object Fashion Island E567388 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: Fashion Island | Statement: [Newport Beach, hasLandmark, Fashion Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fashion Island
Context triple: [Newport Beach, hasLandmark, Fashion Island]
  • A. Fashion Island chosen
    Fashion Island is an upscale open-air shopping and dining destination located in Newport Beach, California.
  • B. Bluewaters Island
    Bluewaters Island is a modern man-made island and lifestyle destination in Dubai known for housing Ain Dubai, the world’s largest observation wheel, along with luxury residences, hotels, and entertainment venues.
  • C. Coast City
    Coast City is a major fictional American coastal metropolis in the DC Universe, best known as the longtime home of Green Lantern Hal Jordan.
  • D. South Beach
    South Beach is a waterfront neighborhood in San Francisco known for its bayside views, modern residential developments, and proximity to Oracle Park.
  • E. South Beach
    South Beach is a popular sandy shoreline in Aberystwyth, Wales, known for its promenade, seaside attractions, and views over Cardigan Bay.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e38f1c81909c7e90b520602bae completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e490472c8190b4ecc935bf03d01e completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:29 p.m.