Triple

T1760760
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Thailand E38651 entity
Predicate hasIsland P970 FINISHED
Object Ko Tao E151104 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: Ko Tao | Statement: [Gulf of Thailand, hasIsland, Ko Tao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ko Tao
Context triple: [Gulf of Thailand, hasIsland, Ko Tao]
  • A. Ko Tao chosen
    Ko Tao is a small island in the Gulf of Thailand renowned for its scuba diving, coral reefs, and laid-back beach tourism.
  • B. Ko Poda
    Ko Poda is a small, scenic island in Thailand’s Andaman Sea, known for its white-sand beaches, clear turquoise waters, and limestone cliffs, and is a popular day-trip destination from Krabi.
  • C. Mazu
    Mazu is a revered Chinese sea goddess and patron deity of sailors and coastal communities, especially venerated in southern China and Taiwan.
  • D. Koya
    Koya is a Dravidian language spoken primarily by the Koya tribal communities in parts of central and southern India.
  • E. Yangmingshan
    Yangmingshan is a volcanic national park area near Taipei in northern Taiwan, known for its hot springs, hiking trails, and scenic mountain landscapes.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64410b58819098be7dc5da23d7af completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0eef69c8190a4d5c8fdaa02603a completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.