Triple

T17611077
Position Surface form Disambiguated ID Type / Status
Subject Siegfried Map E428965 entity
Predicate detailLevelComparedToPredecessor P128275 FINISHED
Object greater topographic detail 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: greater topographic detail | Statement: [Siegfried Map, detailLevelComparedToPredecessor, greater topographic detail]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: detailLevelComparedToPredecessor
Context triple: [Siegfried Map, detailLevelComparedToPredecessor, greater topographic detail]
  • A. comparedToPredecessor
    Indicates that something is being evaluated or measured in relation to the thing that came immediately before it.
  • B. comparisonLevel
    Indicates the degree or intensity to which two or more entities are being compared within a given context.
  • C. featureLevelComparedTo
    Indicates a comparative relationship between entities based on their feature level, specifying how one entity’s feature level ranks relative to another’s.
  • D. technologyLevelComparedToPredecessor
    Indicates how the technology level of an entity compares to that of its immediate predecessor.
  • E. emissionsComparedToPredecessor
    Indicates how the emissions of an entity compare in magnitude (e.g., higher, lower, or equal) to those of its immediate predecessor.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2d294881908380b2ab0b4d2503 completed April 19, 2026, 5:50 a.m.
PD Predicate disambiguation batch_69e3cdd7da34819099bc9481c5a79bab completed April 18, 2026, 6:30 p.m.
PDg Predicate description generation batch_69e3cfaac2b881909e1140339eb1a0dd completed April 18, 2026, 6:38 p.m.
Created at: April 10, 2026, 5:51 a.m.