Triple

T9730501
Position Surface form Disambiguated ID Type / Status
Subject Bayreuth district E235725 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object PEG
PEG is a German vehicle registration code assigned to the Bayreuth district region.
 E817102 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: PEG | Statement: [Bayreuth district, hasVehicleRegistrationCode, PEG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEG
Context triple: [Bayreuth district, hasVehicleRegistrationCode, PEG]
  • A. PEG
    PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
  • B. PEG
    PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
  • C. PDG
    PDG is an abbreviation commonly used for the Policy Development Group, an organization focused on formulating and advising on policy matters.
  • D. PGPL
    PGPL is the top professional football league in Iran, featuring the country’s leading clubs in the highest tier of its league system.
  • E. PAD
    PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
  • 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: PEG
Triple: [Bayreuth district, hasVehicleRegistrationCode, PEG]
Generated description
PEG is a German vehicle registration code assigned to the Bayreuth district region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEG
Target entity description: PEG is a German vehicle registration code assigned to the Bayreuth district region.
  • A. PEG
    PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
  • B. PEG
    PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
  • C. PDG
    PDG is an abbreviation commonly used for the Policy Development Group, an organization focused on formulating and advising on policy matters.
  • D. PGPL
    PGPL is the top professional football league in Iran, featuring the country’s leading clubs in the highest tier of its league system.
  • E. PAD
    PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb0ff488190ac32ed304a3cd3bc completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fb97b6c81908d5f1d4f587a9188 completed April 4, 2026, 11:33 p.m.
NEDg Description generation batch_69d1a16fa29c8190be50ddaa566fcd7f completed April 4, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69d1a335f2808190aca0c1689787b90a completed April 4, 2026, 11:48 p.m.
Created at: March 30, 2026, 8:21 p.m.