Triple

T7276546
Position Surface form Disambiguated ID Type / Status
Subject Barbalha E163043 entity
Predicate hasStateCallingCode P190 FINISHED
Object +55 88 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: +55 88 | Statement: [Barbalha, hasStateCallingCode, +55 88]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStateCallingCode
Context triple: [Barbalha, hasStateCallingCode, +55 88]
  • A. hasCallInNumber
    Indicates that an entity has an associated telephone number designated for receiving incoming calls.
  • B. hasAreaCodeCountry
    Indicates that a particular telephone area code is associated with or belongs to a specific country.
  • C. hasIslandDialingCode
    Indicates that an island is associated with a particular telephone dialing code used for placing calls to it.
  • D. hasAreaCodeType
    Indicates that an entity’s area code is associated with a specific type or classification of area code.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb8a0b4881908ff27c5a75bd4a95 completed March 27, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69c6e76a84a081908d4184c55b728e48 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:59 p.m.