Triple

T1338481
Position Surface form Disambiguated ID Type / Status
Subject GroenLinks E28409 entity
Predicate abbreviation P43 FINISHED
Object GL
GL is the commonly used abbreviation for GroenLinks, a Dutch green-left political party focused on environmentalism, social justice, and progressive policies.
E153693 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: GL | Statement: [GroenLinks, abbreviation, GL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GL
Context triple: [GroenLinks, abbreviation, GL]
  • A. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • B. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • C. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • D. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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: GL
Triple: [GroenLinks, abbreviation, GL]
Generated description
GL is the commonly used abbreviation for GroenLinks, a Dutch green-left political party focused on environmentalism, social justice, and progressive policies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GL
Target entity description: GL is the commonly used abbreviation for GroenLinks, a Dutch green-left political party focused on environmentalism, social justice, and progressive policies.
  • A. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • B. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • C. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • D. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2115d388190b031ae2de1296f8a completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62e4c788190824df2a9b81692d7 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6ae66408190bf48fe3150a08116 completed March 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69acc73b92248190b723cb64046799e3 completed March 8, 2026, 12:47 a.m.
Created at: March 1, 2026, 7:56 p.m.