Triple

T24963888
Position Surface form Disambiguated ID Type / Status
Subject Haad Yuan E624683 entity
Predicate hasOnsiteServices P125325 FINISHED
Object massage huts LITERAL 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: massage huts | Statement: [Haad Yuan, hasOnsiteServices, massage huts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOnsiteServices
Context triple: [Haad Yuan, hasOnsiteServices, massage huts]
  • A. hasOnsiteFeature chosen
    Indicates that one entity possesses or includes a particular feature that is physically present at its location or premises.
  • B. hasOnsiteLabel
    Indicates that something is physically marked or identified with a label at its location or on its surface.
  • C. providesServiceOn
    Indicates that one entity offers or performs a service during, on, or in connection with a specified time, date, or schedule.
  • D. hasOnsiteActivity
    Indicates that an entity conducts or participates in activities that physically take place at a specific site or location.
  • E. hasRetailServices
    Indicates that an entity provides or offers retail-related services to customers.
  • F. None of above.

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_69e2ff23a3a88190b1b9743fe5e15f94 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f606c79ad081908369605f72e65ca6 completed May 2, 2026, 2:14 p.m.
PD Predicate disambiguation batch_69f602ce79ec8190b8336c2b9de18ac7 completed May 2, 2026, 1:57 p.m.
Created at: April 18, 2026, 5:59 a.m.