Triple

T3665511
Position Surface form Disambiguated ID Type / Status
Subject National Scenic Byway E77749 entity
Predicate hasQualityCriterion P50251 FINISHED
Object scenic 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: scenic | Statement: [National Scenic Byway, hasQualityCriterion, scenic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasQualityCriterion
Context triple: [National Scenic Byway, hasQualityCriterion, scenic]
  • A. hasQualifier
    Indicates that one entity serves as a qualifier or modifier that further specifies or restricts the meaning or scope of another entity or statement.
  • B. hasSubcriterion
    Indicates that a criterion includes another, more specific criterion as a subordinate part of its evaluation structure.
  • C. hasCriterionType
    Indicates that something is associated with or classified by a specific type of criterion used for evaluation or decision-making.
  • D. hasQualification
    Indicates that an entity possesses a specific qualification, credential, or competency.
  • E. hasHeritageCriteria
    Indicates that something is associated with specific heritage criteria that define its cultural, historical, or natural significance.
  • F. None of above. chosen

Provenance (4 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc400352081908c16a6a7670eb52a completed March 8, 2026, 6:46 p.m.
PD Predicate disambiguation batch_69adb847e9d881909dad2ffd0f3b6c15 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb97cdb788190a5ce96b21bd157ab completed March 8, 2026, 6:01 p.m.
Created at: March 8, 2026, 3:25 p.m.