Triple

T6684839
Position Surface form Disambiguated ID Type / Status
Subject Argentine National Gendarmerie E152074 entity
Predicate abbreviation P43 FINISHED
Object GNA
GNA is the acronym for the Argentine National Gendarmerie, a federal security force responsible for border protection, rural security, and supporting national law enforcement in Argentina.
 E612142 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: GNA | Statement: [Argentine National Gendarmerie, abbreviation, GNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GNA
Context triple: [Argentine National Gendarmerie, abbreviation, GNA]
  • A. GNO
    GNO is a physics experiment conducted at Italy’s Gran Sasso National Laboratory that studied solar neutrinos to investigate properties of the Sun and neutrino oscillations.
  • B. GATA
    GATA is a song featured on the album "TattleTales" by rapper 6ix9ine.
  • C. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • D. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • E. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • 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: GNA
Triple: [Argentine National Gendarmerie, abbreviation, GNA]
Generated description
GNA is the acronym for the Argentine National Gendarmerie, a federal security force responsible for border protection, rural security, and supporting national law enforcement in Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GNA
Target entity description: GNA is the acronym for the Argentine National Gendarmerie, a federal security force responsible for border protection, rural security, and supporting national law enforcement in Argentina.
  • A. GNO
    GNO is a physics experiment conducted at Italy’s Gran Sasso National Laboratory that studied solar neutrinos to investigate properties of the Sun and neutrino oscillations.
  • B. GATA
    GATA is a song featured on the album "TattleTales" by rapper 6ix9ine.
  • C. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • D. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • E. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b12483948190ba426076919edc48 completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7ae8f388190a3c78c89b7293804 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f9f7b4b08190b5c4dab67758af67 completed March 27, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69c6fac7c0e881909b4c2058beebda9f completed March 27, 2026, 9:46 p.m.
Created at: March 27, 2026, 2:04 p.m.