Triple

T15015872
Position Surface form Disambiguated ID Type / Status
Subject Lockheed Martin Corporation E377957 entity
Predicate hasStockTicker P1447 FINISHED
Object LMT E77487 NE FINISHED

How this triple was built (2 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 Corporation, hasStockTicker, LMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LMT
Context triple: [Lockheed Martin Corporation, hasStockTicker, LMT]
  • A. LMT chosen
    LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
  • B. LKMT
    LKMT is the ICAO airport code for Leoš Janáček Airport Ostrava, an international airport serving the Ostrava region in the Czech Republic.
  • C. LTC
    LTC is the commonly used abbreviation for the London Transit Commission, the public transportation agency serving the city of London, Ontario, Canada.
  • D. Lm
    Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • E. MTM
    MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd078e481908ec78db57541fc4c completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:55 a.m.