Triple

T3505921
Position Surface form Disambiguated ID Type / Status
Subject Federal Constitutional Law of Austria E74074 entity
Predicate shortName P43 FINISHED
Object B-VG
B-VG is the commonly used abbreviation for Austria’s Federal Constitutional Law, which forms the core of the country’s constitutional framework.
 E364037 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: B-VG | Statement: [Federal Constitutional Law of Austria, shortName, B-VG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B-VG
Context triple: [Federal Constitutional Law of Austria, shortName, B-VG]
  • A. VBG
    VBG is the abbreviated name of the German association of botanical gardens, Verband Botanischer Gärten e.V.
  • B. BVG
    BVG is Berlin’s main public transport company, operating the city’s U-Bahn, trams, buses, and ferries.
  • C. VGN
    VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
  • D. VIBN
    VIBN is the ICAO airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
  • E. VBB
    VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
  • 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: B-VG
Triple: [Federal Constitutional Law of Austria, shortName, B-VG]
Generated description
B-VG is the commonly used abbreviation for Austria’s Federal Constitutional Law, which forms the core of the country’s constitutional framework.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B-VG
Target entity description: B-VG is the commonly used abbreviation for Austria’s Federal Constitutional Law, which forms the core of the country’s constitutional framework.
  • A. VBG
    VBG is the abbreviated name of the German association of botanical gardens, Verband Botanischer Gärten e.V.
  • B. BVG
    BVG is Berlin’s main public transport company, operating the city’s U-Bahn, trams, buses, and ferries.
  • C. VGN
    VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
  • D. VIBN
    VIBN is the ICAO airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
  • E. VBB
    VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf38e988190998d722b95830411 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373de0a34819096701e24409a08bb completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b377dfd2308190b2762715fa098260 completed March 13, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_69b37850f18081908ee893dd4cedc183 completed March 13, 2026, 2:37 a.m.
Created at: March 8, 2026, 3:18 p.m.