Triple

T818092
Position Surface form Disambiguated ID Type / Status
Subject Lithuania E17692 entity
Predicate formerCurrency P3071 FINISHED
Object litas
The litas was the national currency of Lithuania before the adoption of the euro.
 E98257 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: litas | Statement: [Lithuania, formerCurrency, litas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: litas
Context triple: [Lithuania, formerCurrency, litas]
  • A. PTLIS
    PTLIS is the UN/LOCODE designation for the port and city of Lisbon, Portugal, used in international trade and transport documentation.
  • B. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • C. LI
    LI is the Roman numeral representing the number 51.
  • D. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • E. LUSU
    LUSU is the students' union representing and supporting students at Lancaster University in the United Kingdom.
  • 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: litas
Triple: [Lithuania, formerCurrency, litas]
Generated description
The litas was the national currency of Lithuania before the adoption of the euro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: litas
Target entity description: The litas was the national currency of Lithuania before the adoption of the euro.
  • A. PTLIS
    PTLIS is the UN/LOCODE designation for the port and city of Lisbon, Portugal, used in international trade and transport documentation.
  • B. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • C. LI
    LI is the Roman numeral representing the number 51.
  • D. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • E. LUSU
    LUSU is the students' union representing and supporting students at Lancaster University in the United Kingdom.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab63f4a48190a61a14c3c41ed641 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8f639081909690d1ef4c98680e completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a781f5536c81908175d58b6b75adba completed March 4, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69a7860e656c8190a08a9999662ba1f1 completed March 4, 2026, 1:08 a.m.
Created at: March 1, 2026, 7:38 p.m.