Triple

T16966005
Position Surface form Disambiguated ID Type / Status
Subject ISO 19100 series E411540 entity
Predicate hasPart P35 FINISHED
Object ISO 19115 E1239717 NE 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: ISO 19115 | Statement: [ISO 19100 series, hasPart, ISO 19115]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 19115
Context triple: [ISO 19100 series, hasPart, ISO 19115]
  • A. ISO 19115 chosen
    ISO 19115 is an international standard that defines how to describe and structure geographic information metadata for consistent documentation and sharing of spatial datasets.
  • B. ISO 19107
    ISO 19107 is an international standard that defines a conceptual schema for spatial geometry and topology in geographic information systems.
  • C. ISO 19136
    ISO 19136 is the international standard that defines the Geography Markup Language (GML), an XML-based format for modeling, transporting, and storing geographic information.
  • D. ISO 19117
    ISO 19117 is an international standard that defines rules and methods for the portrayal of geographic information, particularly how spatial data is symbolized and presented in maps and related visualizations.
  • E. ISO 19100 series
    The ISO 19100 series is a family of international geographic information standards that define models, schemas, and services for the representation, management, and exchange of geospatial data.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a3cecc8190a490573adce80cca completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46cb56481908c2bc6648a12fbcf completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.