Triple

T12766687
Position Surface form Disambiguated ID Type / Status
Subject Robe E305141 entity
Predicate hasAttraction P105 FINISHED
Object Long Beach unclear NED1 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: Long Beach | Statement: [Robe, hasAttraction, Long Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long Beach
Context triple: [Robe, hasAttraction, Long Beach]
  • A. Long Beach
    Long Beach is a coastal city in Southern California known for its busy port, waterfront attractions, and diverse urban community within the Los Angeles metropolitan area.
  • B. Long Beach
    Long Beach is a small coastal city in southern Mississippi known for its white-sand beaches, proximity to the Gulf of Mexico, and relaxed residential character.
  • C. Long Beach
    Long Beach is a renowned stretch of sandy coastline near Tofino on Vancouver Island, famous for its surfing, storm watching, and scenic Pacific Rim National Park setting.
  • D. Long Beach
    Long Beach is a popular oceanfront city and barrier island community on the south shore of Long Island in New York, known for its sandy beaches and boardwalk.
  • E. Long Beach
    Long Beach is a popular, scenic stretch of sandy shoreline on Vietnam’s Phu Quoc Island, known for its sunsets, resorts, and calm tropical waters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df1ef148190af525532fcb0933b completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ea78dcc819091773d900ad44be6 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:28 p.m.