Triple

T34877141
Position Surface form Disambiguated ID Type / Status
Subject Cuban telephone numbering plan E1005908 entity
Predicate areaCode7Region P190 FINISHED
Object Havana 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: Havana | Statement: [Cuban telephone numbering plan, areaCode7Region, Havana]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areaCode7Region
Context triple: [Cuban telephone numbering plan, areaCode7Region, Havana]
  • A. areaCode
    Indicates that a location, phone number, or region is associated with a specific telephone area code.
  • B. regionNumber
    Indicates that an entity is assigned to or associated with a specific numbered region within a larger spatial or organizational division.
  • C. icaoRegionPrefix
    Indicates the regional ICAO prefix that designates the geographic or administrative region associated with an aviation-related entity.
  • D. hasAreaCodeCountry
    Indicates that a particular telephone area code is associated with or belongs to a specific country.
  • E. hasAreaCode chosen
    Indicates that a specified telephone area code is assigned to or associated with a particular geographic region, location, or phone service entity.
  • 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_69f76dbde1c08190a24e7f9beb564c8d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782f4f10081908f97f6d0d2dbeec7 completed May 3, 2026, 5:16 p.m.
PD Predicate disambiguation batch_69f780ff71cc8190a67e71076fbad81a completed May 3, 2026, 5:08 p.m.
Created at: May 3, 2026, 4 p.m.