Triple

T1924511
Position Surface form Disambiguated ID Type / Status
Subject MRC LMB E40798 entity
Predicate abbreviation P43 FINISHED
Object LMB
LMB is a commonly used abbreviation that can refer to various organizations or concepts, most notably the MRC Laboratory of Molecular Biology in Cambridge, UK.
 E214989 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: LMB | Statement: [MRC LMB, abbreviation, LMB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LMB
Context triple: [MRC LMB, abbreviation, LMB]
  • A. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • B. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • C. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • D. LBR
    LBR is the official FIFA trigramme used to represent the Liberia national football team in international competitions and records.
  • 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: LMB
Triple: [MRC LMB, abbreviation, LMB]
Generated description
LMB is a commonly used abbreviation that can refer to various organizations or concepts, most notably the MRC Laboratory of Molecular Biology in Cambridge, UK.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LMB
Target entity description: LMB is a commonly used abbreviation that can refer to various organizations or concepts, most notably the MRC Laboratory of Molecular Biology in Cambridge, UK.
  • A. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • B. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • C. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • D. LBR
    LBR is the official FIFA trigramme used to represent the Liberia national football team in international competitions and records.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2359ca0819082b514a34c469b21 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e6678881908d72de7e0f19a648 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf472aca881908d99cf5bfcae3094 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf50d93c88190aa1cbf96526558b6 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.