Triple

T1186835
Position Surface form Disambiguated ID Type / Status
Subject Economy of Egypt E25266 entity
Predicate majorSector P20603 FINISHED
Object services 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: services | Statement: [Economy of Egypt, majorSector, services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorSector
Context triple: [Economy of Egypt, majorSector, services]
  • A. sector
    Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
  • B. majorSegmentOf
    Indicates that one entity constitutes a principal or most significant part of another larger whole.
  • C. majorSect
    Indicates that one religious sect is the primary, dominant, or most influential branch within a broader religious tradition or context.
  • D. hasIndustrialSector chosen
    Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
  • E. sectorInfluence
    Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd5578b08190bbe4089857fbf166 completed March 1, 2026, 10:27 p.m.
PD Predicate disambiguation batch_69a4bb59ca6c81908597a81646674aaa completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:45 p.m.