Triple

T19497977
Position Surface form Disambiguated ID Type / Status
Subject E-DA World E487823 entity
Predicate hasPart P35 FINISHED
Object E-DA Skylark Hotel NE NERFINISHED

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: E-DA Skylark Hotel | Statement: [E-DA World, hasPart, E-DA Skylark Hotel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E-DA Skylark Hotel
Context triple: [E-DA World, hasPart, E-DA Skylark Hotel]
  • A. E-DA Skylark Hotel chosen
    E-DA Skylark Hotel is a leisure and business hotel in Taiwan associated with the E-DA Group’s larger shopping, entertainment, and theme park complex.
  • B. E-DA Royal Hotel
    E-DA Royal Hotel is a luxury hotel in Taiwan known for its upscale accommodations and proximity to the E-DA World shopping and entertainment complex.
  • C. Bella Sky Hotel
    Bella Sky Hotel is a strikingly modern, twin-tower hotel in Copenhagen known for its distinctive leaning architecture and contemporary Scandinavian design.
  • D. Faralda Crane Hotel
    Faralda Crane Hotel is a luxury boutique hotel built into a converted industrial crane overlooking the waterfront in Amsterdam.
  • E. Howtown Hotel
    Howtown Hotel is a traditional country hotel in the Lake District village of Howtown, England, known for its historic charm and scenic lakeside surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63493232881909fc33fb84da3e1b5 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.