Triple

T18976201
Position Surface form Disambiguated ID Type / Status
Subject ISO 14090 E464301 entity
Predicate relatedTo P37 FINISHED
Object ISO 14097 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 14097 | Statement: [ISO 14090, relatedTo, ISO 14097]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 14097
Context triple: [ISO 14090, relatedTo, ISO 14097]
  • A. ISO 14097 chosen
    ISO 14097 is an international standard that provides a framework for assessing and reporting the climate-related financial impacts and performance of investments and financing activities.
  • B. ISO 14091
    ISO 14091 is an international standard that provides guidelines for assessing climate-related risks and vulnerabilities to support adaptation planning and decision-making.
  • C. ISO 14090
    ISO 14090 is an international standard that provides principles and guidelines for climate change adaptation planning and implementation.
  • D. ISO 14027
    ISO 14027 is an international standard that provides principles, requirements, and guidelines for developing and using product category rules (PCR) for environmental product declarations.
  • E. ISO 14026
    ISO 14026 is an international standard that provides principles and requirements for footprint-type environmental labels and declarations, focusing on quantifying and communicating the environmental impacts of products.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d61f96c88190b9a25158e0b012ca completed April 20, 2026, 7:30 a.m.
Created at: April 10, 2026, noon