Triple

T5418179
Position Surface form Disambiguated ID Type / Status
Subject Bone Regency E121181 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DP
DP is the vehicle registration code assigned to Bone Regency in Indonesia.
 E518369 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: [Bone Regency, vehicleRegistrationCode, DP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DP
Context triple: [Bone Regency, vehicleRegistrationCode, DP]
  • A. DP
    DP is the IATA airline designator for Pobeda, a Russian low-cost carrier and subsidiary of Aeroflot.
  • B. DP
    DP is the common abbreviation for the Democratic Party, a former major centrist to center-left political party in Japan.
  • C. DP
    DP is the rigorous two-year pre-university curriculum offered by the International Baccalaureate for students typically aged 16 to 19.
  • D. 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.
  • E. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • 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: [Bone Regency, vehicleRegistrationCode, DP]
Generated description
DP is the vehicle registration code assigned to Bone Regency in Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DP
Target entity description: DP is the vehicle registration code assigned to Bone Regency in Indonesia.
  • A. DP
    DP is the IATA airline designator for Pobeda, a Russian low-cost carrier and subsidiary of Aeroflot.
  • B. DP
    DP is the common abbreviation for the Democratic Party, a former major centrist to center-left political party in Japan.
  • C. DP
    DP is the rigorous two-year pre-university curriculum offered by the International Baccalaureate for students typically aged 16 to 19.
  • D. 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.
  • E. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e620f081909eb9a5e1f284e5a2 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aadfa4c81908b57af80f534b121 completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3b7f947c8190bc15d839488f393b completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3bfde6148190a2e7aa76bd5dce37 completed March 22, 2026, 12:46 a.m.
Created at: March 20, 2026, 2:05 p.m.