Triple

T12417944
Position Surface form Disambiguated ID Type / Status
Subject Illiniza Norte E296684 entity
Predicate difficultyRelativeToIllinizaSur P16772 FINISHED
Object easier than Illiniza Sur 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: easier than Illiniza Sur | Statement: [Illiniza Norte, difficultyRelativeToIllinizaSur, easier than Illiniza Sur]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: difficultyRelativeToIllinizaSur
Context triple: [Illiniza Norte, difficultyRelativeToIllinizaSur, easier than Illiniza Sur]
  • A. difficultyRelativeTo chosen
    Indicates that one entity’s level of difficulty is being compared to and expressed in relation to another entity’s level of difficulty.
  • B. difficultyRelativeToOtherRoutes
    Indicates how the difficulty level of one route compares relative to other routes.
  • C. difficulty
    Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
  • D. difficultySource
    Indicates that one entity is the cause, origin, or contributing factor to the difficulty or challenge experienced in relation to another entity or situation.
  • E. hasDifficultyContext
    Indicates that something’s difficulty is defined, interpreted, or constrained within a particular situational or contextual framework.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e1888b48190bd750f839a26e99e completed April 10, 2026, 7:23 p.m.
PD Predicate disambiguation batch_69d94d354b488190adc83fb4f2770dd5 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:55 p.m.