Triple

T16966016
Position Surface form Disambiguated ID Type / Status
Subject ISO 19100 series E411540 entity
Predicate hasPart P35 FINISHED
Object ISO 19130-2 NE NERFINISHED

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 19130-2 | Statement: [ISO 19100 series, hasPart, ISO 19130-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 19130-2
Context triple: [ISO 19100 series, hasPart, ISO 19130-2]
  • A. ISO 19130 chosen
    ISO 19130 is an international standard in the ISO 19100 geographic information series that defines sensor models and metadata for geolocation of remotely sensed imagery.
  • B. ISO 19101-2
    ISO 19101-2 is an international standard that defines the reference model for imagery, gridded, and coverage data within the ISO 19100 family of geographic information standards.
  • C. ISO 19112
    ISO 19112 is an international standard in the ISO 19100 geographic information series that defines a framework for referencing spatial locations using geographic identifiers rather than coordinates.
  • D. 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.
  • E. ISO 19161-2
    ISO 19161-2 is an international standard in the ISO 19100 geographic information series that specifies methods for geodetic referencing using the Global Navigation Satellite System (GNSS).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 10, 2026, 5:31 a.m.