Triple

T797906
Position Surface form Disambiguated ID Type / Status
Subject King Range E17061 entity
Predicate accessDifficulty P11058 FINISHED
Object limited road access 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: limited road access | Statement: [King Range, accessDifficulty, limited road access]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accessDifficulty
Context triple: [King Range, accessDifficulty, limited road access]
  • A. difficulty
    Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
  • B. isDifficultToAccessBecauseOf chosen
    Indicates that something is hard to reach, obtain, or use due to a specified obstacle, condition, or circumstance.
  • C. difficultyRelativeTo
    Indicates that one entity’s level of difficulty is being compared to and expressed in relation to another entity’s level of difficulty.
  • D. accessible
    Indicates that one entity can be reached, entered, used, or understood by another entity, often without undue difficulty or barriers.
  • E. accessibleFrom
    Indicates that one entity can be reached, entered, or used starting from another entity, typically without obstruction.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b342888190a344fe81a2c9f33c completed March 1, 2026, 8:55 p.m.
PD Predicate disambiguation batch_69a4a5122a008190b0c621b7bc588d41 completed March 1, 2026, 8:44 p.m.
Created at: March 1, 2026, 7:38 p.m.