Triple

T16923676
Position Surface form Disambiguated ID Type / Status
Subject Tajikistani ruble E410509 entity
Predicate ISO4217Code P189 FINISHED
Object TJR
TJR was the ISO 4217 currency code for the former Tajikistani ruble, the national currency of Tajikistan before it was replaced by the somoni.
E1241252 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: TJR | Statement: [Tajikistani ruble, ISO4217Code, TJR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TJR
Context triple: [Tajikistani ruble, ISO4217Code, TJR]
  • A. TJNR
    TJNR is the ICAO airport code for José Aponte de la Torre Airport in Ceiba, Puerto Rico.
  • B. TJM
    TJM is the IATA airport code for Roshchino International Airport serving Tyumen in western Siberia, Russia.
  • C. TJH
    TJH is the three-letter IATA airport code assigned to Tajima Airport in Japan.
  • D. TJ
    TJ is a software developer best known for creating the Node.js web framework Express and numerous other open-source tools.
  • E. TJ
    TJ is the commonly used abbreviation for TransJakarta, Jakarta’s bus rapid transit system.
  • 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: TJR
Triple: [Tajikistani ruble, ISO4217Code, TJR]
Generated description
TJR was the ISO 4217 currency code for the former Tajikistani ruble, the national currency of Tajikistan before it was replaced by the somoni.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TJR
Target entity description: TJR was the ISO 4217 currency code for the former Tajikistani ruble, the national currency of Tajikistan before it was replaced by the somoni.
  • A. TJNR
    TJNR is the ICAO airport code for José Aponte de la Torre Airport in Ceiba, Puerto Rico.
  • B. TJM
    TJM is the IATA airport code for Roshchino International Airport serving Tyumen in western Siberia, Russia.
  • C. TJH
    TJH is the three-letter IATA airport code assigned to Tajima Airport in Japan.
  • D. TJ
    TJ is a software developer best known for creating the Node.js web framework Express and numerous other open-source tools.
  • E. TJ
    TJ is the commonly used abbreviation for TransJakarta, Jakarta’s bus rapid transit system.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdf06e8c81908028efef2faa6c6b completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd5e17481909fc4303fcc1342bf completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d0a0852c8190991af93d50fa2216 completed May 10, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00d14b83d88190b3dbc124d5b33029 completed May 10, 2026, 6:41 p.m.
Created at: April 10, 2026, 5:30 a.m.