Triple

T24404429
Position Surface form Disambiguated ID Type / Status
Subject SMZO E615268 entity
Predicate UNLOCODEcountry P3519 FINISHED
Object SR 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: SR | Statement: [SMZO, UNLOCODEcountry, SR]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: UNLOCODEcountry
Context triple: [SMZO, UNLOCODEcountry, SR]
  • A. UNLOCODECountryCode chosen
    Indicates that an entity is associated with a specific country code as defined by the UN/LOCODE standard.
  • B. UNLOCODE
    Indicates that an entity is associated with a specific UN/LOCODE, i.e., a standardized United Nations location code identifying a particular place used in international trade and transport.
  • C. ISOCode
    Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
  • D. ISO3166-1Code
    Indicates the standardized two- or three-letter country or territory code assigned under the ISO 3166-1 international standard.
  • E. linkedToISO3166-2CodesOf
    Indicates a relationship where an entity is associated with, or mapped to, specific ISO 3166-2 subdivision codes that represent its corresponding administrative regions.
  • 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_69e2d7e780bc81908049c779e697a7f6 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f294dcf7f4819094d2a3be163a5822 completed April 29, 2026, 11:31 p.m.
PD Predicate disambiguation batch_69f287c4a2b48190b80fb7a3c0e9b018 completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2:05 a.m.