Triple

T17970085
Position Surface form Disambiguated ID Type / Status
Subject FIPS 04-07910 E449311 entity
Predicate relatedStandard P37 FINISHED
Object ANSI INCITS geographic codes NE NERFINISHED

How this triple was built (3 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: ANSI INCITS geographic codes | Statement: [FIPS 04-07910, relatedStandard, ANSI INCITS geographic codes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANSI INCITS geographic codes
Context triple: [FIPS 04-07910, relatedStandard, ANSI INCITS geographic codes]
  • A. ISO 3166
    ISO 3166 is an international standard published by the International Organization for Standardization that defines globally recognized codes for the names of countries, dependent territories, and their principal subdivisions.
  • B. ISO 3166-1
    ISO 3166-1 is an international standard published by ISO that defines globally recognized country codes in alpha-2, alpha-3, and numeric formats.
  • C. National Location Code system
    The National Location Code system is a standardized scheme used to uniquely identify railway locations and facilities across a national rail network for operational, ticketing, and data management purposes.
  • D. ISO 3166-2:US
    ISO 3166-2:US is the section of the ISO 3166 standard that defines internationally recognized subdivision codes for the states and territories of the United States.
  • E. ISO 3166-2:ST
    ISO 3166-2:ST is the ISO 3166-2 entry that defines the principal subdivision codes for São Tomé and Príncipe.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ANSI INCITS geographic codes
Target entity description: ANSI INCITS geographic codes are standardized numeric and alphabetic identifiers used in the United States to uniquely represent geographic entities such as states, counties, and populated places for data processing and analysis.
  • A. ISO 3166
    ISO 3166 is an international standard published by the International Organization for Standardization that defines globally recognized codes for the names of countries, dependent territories, and their principal subdivisions.
  • B. ISO 3166-1
    ISO 3166-1 is an international standard published by ISO that defines globally recognized country codes in alpha-2, alpha-3, and numeric formats.
  • C. National Location Code system
    The National Location Code system is a standardized scheme used to uniquely identify railway locations and facilities across a national rail network for operational, ticketing, and data management purposes.
  • D. ISO 3166-2:US
    ISO 3166-2:US is the section of the ISO 3166 standard that defines internationally recognized subdivision codes for the states and territories of the United States.
  • E. ISO 3166-2:ST
    ISO 3166-2:ST is the ISO 3166-2 entry that defines the principal subdivision codes for São Tomé and Príncipe.
  • F. None of above. chosen

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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b13b1b088190b7d71006b31e5cc3 completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.