Triple

T3590516
Position Surface form Disambiguated ID Type / Status
Subject Plain (La Plaine) E76013 entity
Predicate positionRelativeToMontagnards P49573 FINISHED
Object more moderate 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: more moderate | Statement: [Plain (La Plaine), positionRelativeToMontagnards, more moderate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionRelativeToMontagnards
Context triple: [Plain (La Plaine), positionRelativeToMontagnards, more moderate]
  • A. positionRelativeToSummit
    Indicates the spatial relationship of an entity’s location with respect to the summit of a feature or structure.
  • B. positionRelativeToTower
    Indicates the spatial relationship or placement of an entity with respect to a specified tower.
  • C. relativeToMountEverest
    Indicates a relationship that compares or situates something in reference to Mount Everest, such as in terms of location, height, scale, or significance.
  • D. locatedInMountainRainShadowOf
    Indicates that one location lies in the rain shadow of a mountain or mountain range, receiving reduced precipitation because the mountains block prevailing moisture-bearing winds.
  • E. adjacentMountain
    Indicates that one mountain is directly next to or touching another mountain, with no significant separation between them.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc1581278819081dd73b4c71e422e completed March 8, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69adb839b4e08190b1c0d611cccb11ae completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb902e61c81908f10494f828e260f completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:22 p.m.