Triple

T2288315
Position Surface form Disambiguated ID Type / Status
Subject Maltese lira E51444 entity
Predicate symbol P129 FINISHED
Object Lm
Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
 E253096 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: Lm | Statement: [Maltese lira, symbol, Lm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lm
Context triple: [Maltese lira, symbol, Lm]
  • A. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • B. L2M
    L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
  • C. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • D. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • E. LMT
    LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
  • 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: Lm
Triple: [Maltese lira, symbol, Lm]
Generated description
Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lm
Target entity description: Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • A. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • B. L2M
    L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
  • C. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • D. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • E. LMT
    LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc2497ce881909b05eb9cec67d9e7 completed March 7, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f1b2a7c8190aa836f9feba2ce1a completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae8004fb6c81908f9fb1678f608419 completed March 9, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69ae809ebfdc8190ae404d5711a58b59 completed March 9, 2026, 8:11 a.m.
Created at: March 4, 2026, 7:48 p.m.