Triple

T5239689
Position Surface form Disambiguated ID Type / Status
Subject Dameisha Beach E118307 entity
Predicate near P350 FINISHED
Object Xiaomeisha Beach E504033 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: Xiaomeisha Beach | Statement: [Dameisha Beach, near, Xiaomeisha Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiaomeisha Beach
Context triple: [Dameisha Beach, near, Xiaomeisha Beach]
  • A. Xiaomeisha Beach chosen
    Xiaomeisha Beach is a popular seaside resort area in Shenzhen, China, known for its sandy shoreline, recreational facilities, and coastal scenery.
  • B. Fulong Beach
    Fulong Beach is a popular sandy seaside resort on Taiwan’s northeast coast, known for its golden beach, summer music festivals, and water activities.
  • C. Yalong Bay
    Yalong Bay is a popular tropical beach resort area on the southern coast of Hainan Island in China, known for its white sand beaches, clear waters, and upscale hotels.
  • D. Jinshan City Beach
    Jinshan City Beach is a popular coastal recreation area in Shanghai known for its sandy shoreline, seaside promenades, and water-based leisure activities.
  • E. Shi Shi Beach
    Shi Shi Beach is a remote, rugged coastal beach on Washington State’s Olympic Peninsula, renowned for its dramatic sea stacks, tide pools, and scenic hiking access.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2a52fc8190a22631e1853c74a3 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef823afd88190a3a41e7fff09d449 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.