Triple

T3370970
Position Surface form Disambiguated ID Type / Status
Subject National Republican Guard E70952 entity
Predicate abbreviation P43 FINISHED
Object GNR
GNR is the Portuguese National Republican Guard, a national gendarmerie force responsible for public security, law enforcement, and rural policing across much of Portugal.
 E354048 NE FINISHED

How this triple was built (4 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: GNR | Statement: [National Republican Guard, abbreviation, GNR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GNR
Context triple: [National Republican Guard, abbreviation, GNR]
  • A. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • B. GRR
    GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
  • C. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • D. GNB
    GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
  • E. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GNR
Triple: [National Republican Guard, abbreviation, GNR]
Generated description
GNR is the Portuguese National Republican Guard, a national gendarmerie force responsible for public security, law enforcement, and rural policing across much of Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GNR
Target entity description: GNR is the Portuguese National Republican Guard, a national gendarmerie force responsible for public security, law enforcement, and rural policing across much of Portugal.
  • A. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • B. GRR
    GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
  • C. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • D. GNB
    GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
  • E. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • F. None of above. chosen

Provenance (5 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bb32f88190bacf50e11b50fe99 completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3343cc70081908facb693c6045ff7 completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334e5171c8190a01bb6fef5644825 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3390c50b08190b6239b5f0d1eb4ba completed March 12, 2026, 10:07 p.m.
Created at: March 8, 2026, 3:13 p.m.