Triple

T19870928
Position Surface form Disambiguated ID Type / Status
Subject Bank of Eritrea E477513 entity
Predicate usesCurrencyCode P188 FINISHED
Object ERN
ERN is the official currency code for the Eritrean nakfa, the national currency of Eritrea.
 E1400437 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: ERN | Statement: [Bank of Eritrea, usesCurrencyCode, ERN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ERN
Context triple: [Bank of Eritrea, usesCurrencyCode, ERN]
  • A. ER
    ER is the zone code for Eastern Railway, one of the major railway zones of Indian Railways headquartered in Kolkata.
  • B. ER
    ER is the IATA airline designator assigned to SereneAir, a Pakistani low-cost carrier.
  • C. ER
    ER is the abbreviation used to designate the Eastern Region of British Rail, a major administrative division of the former British railway network covering eastern England.
  • D. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • E. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • 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: ERN
Triple: [Bank of Eritrea, usesCurrencyCode, ERN]
Generated description
ERN is the official currency code for the Eritrean nakfa, the national currency of Eritrea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ERN
Target entity description: ERN is the official currency code for the Eritrean nakfa, the national currency of Eritrea.
  • A. ER
    ER is the zone code for Eastern Railway, one of the major railway zones of Indian Railways headquartered in Kolkata.
  • B. ER
    ER is the abbreviation used to designate the Eastern Region of British Rail, a major administrative division of the former British railway network covering eastern England.
  • C. ER
    ER is the IATA airline designator assigned to SereneAir, a Pakistani low-cost carrier.
  • D. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • E. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658a3d2b08190ad81914d4860df0e completed April 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbc283388190abe25a678c1671ed completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc57696081908475464010ae707b completed May 16, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_6a07dcd440b88190b9f44d16f4e06291 completed May 16, 2026, 2:56 a.m.
Created at: April 10, 2026, 1:51 p.m.