Triple

T16946727
Position Surface form Disambiguated ID Type / Status
Subject ISO 19111 E411085 entity
Predicate relatedTo P37 FINISHED
Object ISO 19107 E1239716 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 19107 | Statement: [ISO 19111, relatedTo, ISO 19107]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 19107
Context triple: [ISO 19111, relatedTo, ISO 19107]
  • A. ISO 19107 chosen
    ISO 19107 is an international standard that defines a conceptual schema for spatial geometry and topology in geographic information systems.
  • B. ISO 19111
    ISO 19111 is an international standard that defines the conceptual schema for spatial referencing by coordinates, including coordinate reference systems and transformations used in geospatial information.
  • 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 19148
    ISO 19148 is an international standard in the ISO 19100 geographic information series that defines a linear referencing system for locating geographic features along linear elements such as roads or pipelines.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb25e0c8190948e62d9575ae9cd completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eccd1e48190aa0dc64562d6ff1f completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:31 a.m.