Triple

T617392
Position Surface form Disambiguated ID Type / Status
Subject Lockheed Martin E14436 entity
Predicate stockTicker P1447 FINISHED
Object LMT
LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
 E77487 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: LMT | Statement: [Lockheed Martin, stockTicker, LMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LMT
Context triple: [Lockheed Martin, stockTicker, LMT]
  • A. L2M
    L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
  • B. MLT
    MLT is the three-letter ISO 3166-1 alpha-3 country code assigned to Malta.
  • C. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • D. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • E. HMT
    HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
  • 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: LMT
Triple: [Lockheed Martin, stockTicker, LMT]
Generated description
LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LMT
Target entity description: LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
  • A. L2M
    L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
  • B. MLT
    MLT is the three-letter ISO 3166-1 alpha-3 country code assigned to Malta.
  • C. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • D. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • E. HMT
    HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e2418c881908552d2c4a5006e97 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a55a77b6648190a2d07471442b401a completed March 2, 2026, 9:37 a.m.
NEDg Description generation batch_69a55b80320c8190a4e9eba92cd2839a completed March 2, 2026, 9:42 a.m.
NED2 Entity disambiguation (via description) batch_69a55bcfce508190b58e0289775125f9 completed March 2, 2026, 9:43 a.m.
Created at: March 1, 2026, 7:35 p.m.