Triple

T1833201
Position Surface form Disambiguated ID Type / Status
Subject Vinson Massif E41004 entity
Predicate mapRegion P33924 FINISHED
Object USGS Vinson Massif topographic map 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: USGS Vinson Massif topographic map | Statement: [Vinson Massif, mapRegion, USGS Vinson Massif topographic map]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mapRegion
Context triple: [Vinson Massif, mapRegion, USGS Vinson Massif topographic map]
  • A. coreRegionOf
    Indicates that one entity constitutes the central or most essential part of another entity’s structure, area, or domain.
  • B. hasRegion
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • C. formationRegion
    Indicates the place or area where something originates, is created, or comes into being.
  • D. mapNumber
    Indicates a correspondence where each element in one set or collection is assigned a specific numeric value in another set or domain.
  • E. mapColor
    Indicates a relationship where a map region or area is assigned or associated with a specific color, typically for visualization or categorization purposes.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb32d35508190bf1c487dffbecaf0 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafd88ebc81908208394746351fe6 completed March 7, 2026, 4:55 a.m.
PDg Predicate description generation batch_69abb32a8d548190a231c7c2ce276a5e completed March 7, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:33 p.m.