Triple

T7560083
Position Surface form Disambiguated ID Type / Status
Subject Pattaya Viewpoint E178770 entity
Predicate viewOf P854 FINISHED
Object Pattaya Beach E673621 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: Pattaya Beach | Statement: [Pattaya Viewpoint, viewOf, Pattaya Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pattaya Beach
Context triple: [Pattaya Viewpoint, viewOf, Pattaya Beach]
  • A. Pattaya Beach chosen
    Pattaya Beach is a major resort beach in Thailand known for its vibrant nightlife, water sports, and bustling seaside promenade.
  • B. Patong Beach
    Patong Beach is Phuket’s most famous resort area, known for its long sandy shoreline, vibrant nightlife, and dense concentration of hotels, bars, and restaurants.
  • C. Chaweng Beach
    Chaweng Beach is a popular, long stretch of white sand and clear water on Ko Samui in Thailand, known for its lively nightlife, resorts, and water activities.
  • D. Rajamangala Beach
    Rajamangala Beach is a coastal attraction in Thailand’s Trang province known for its tranquil shoreline and scenic views of the Andaman Sea.
  • E. Ao Nang Beach
    Ao Nang Beach is a popular tourist beach in Krabi, Thailand, known for its scenic limestone cliffs, soft sand, and role as a gateway to nearby islands.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dd96488190b4cca25ae8f7f95c completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a8c3f4c8190af77a94e59d0ff03 completed March 29, 2026, 3:20 a.m.
Created at: March 27, 2026, 3:50 p.m.