Triple

T3862088
Position Surface form Disambiguated ID Type / Status
Subject IGN Top25 3531ET (St-Gervais / Massif du Mont Blanc) E90160 entity
Predicate cartographicSeriesType P14858 FINISHED
Object large-scale topographic 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: large-scale topographic | Statement: [IGN Top25 3531ET (St-Gervais / Massif du Mont Blanc), cartographicSeriesType, large-scale topographic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cartographicSeriesType
Context triple: [IGN Top25 3531ET (St-Gervais / Massif du Mont Blanc), cartographicSeriesType, large-scale topographic]
  • A. seriesType chosen
    Indicates the classification or category of a series that an entity belongs to or is associated with.
  • B. cartographicSignificance
    Indicates the importance or relevance of something within the context of mapping or geographic representation.
  • C. cartographicContext
    Indicates the mapping or geographic framework within which something is spatially represented or interpreted.
  • D. cartographicAuthority
    Indicates that an entity has official responsibility for creating, maintaining, or validating cartographic or map-related information for another entity or area.
  • E. geographicalRepresentation
    Indicates that one entity serves as a geographic depiction, model, or mapping of another entity’s location, area, or spatial characteristics.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec22a5dc8190be8298d1ce8ca449 completed March 9, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69aee752c8a48190a670f73ed0bf1e61 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:19 p.m.