Triple

T2623138
Position Surface form Disambiguated ID Type / Status
Subject Pobeda E59054 entity
Predicate IATAcode P418 FINISHED
Object DP
DP is the IATA airline designator for Pobeda, a Russian low-cost carrier and subsidiary of Aeroflot.
E282853 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: DP | Statement: [Pobeda, IATAcode, DP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DP
Context triple: [Pobeda, IATAcode, DP]
  • A. DPP
    DPP (Device Provisioning Protocol) is a Wi‑Fi Alliance standard that simplifies and secures the process of adding new devices to a Wi‑Fi network without requiring traditional passwords.
  • B. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • C. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • D. PP
    PP is the commonly used abbreviation for the People's Party, a major conservative political party in Spain.
  • E. PP
    The ITU Plenipotentiary Conference (PP) is the top policy-making body of the International Telecommunication Union, where member states set the Union’s general policies, strategic direction, and leadership.
  • 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: DP
Triple: [Pobeda, IATAcode, DP]
Generated description
DP is the IATA airline designator for Pobeda, a Russian low-cost carrier and subsidiary of Aeroflot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DP
Target entity description: DP is the IATA airline designator for Pobeda, a Russian low-cost carrier and subsidiary of Aeroflot.
  • A. DPP
    DPP (Device Provisioning Protocol) is a Wi‑Fi Alliance standard that simplifies and secures the process of adding new devices to a Wi‑Fi network without requiring traditional passwords.
  • B. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • C. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • D. PP
    PP is the commonly used abbreviation for the People's Party, a major conservative political party in Spain.
  • E. PP
    The ITU Plenipotentiary Conference (PP) is the top policy-making body of the International Telecommunication Union, where member states set the Union’s general policies, strategic direction, and leadership.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8af06fc8190ab48d746b8c8892b completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af909b7d9881908930a98d004998fb completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af913e20848190a25c90617df6ea6f completed March 10, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_69af91e0ef408190b1ab9cb9f8bbdaca completed March 10, 2026, 3:37 a.m.
Created at: March 6, 2026, 9:50 p.m.