Triple

T20438572
Position Surface form Disambiguated ID Type / Status
Subject Modesto Nuts E501319 entity
Predicate abbreviation P43 FINISHED
Object MOD NE NERFINISHED

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: MOD | Statement: [Modesto Nuts, abbreviation, MOD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MOD
Context triple: [Modesto Nuts, abbreviation, MOD]
  • A. MOD
    MOD is the commonly used abbreviation for Japan’s Ministry of Defense, the government body responsible for the country’s national defense and Self-Defense Forces.
  • B. MOD chosen
    MOD is the three-letter FAA airport code for Modesto City–County Airport in Modesto, California.
  • C. MOD
    MOD is the stock ticker symbol for Modine Manufacturing Company, an American firm specializing in thermal management and heat transfer solutions for vehicles and industrial applications.
  • D. MOD
    MOD is the youth wing of the Czech Civic Democratic Party, bringing together young people interested in liberal-conservative politics.
  • E. MOD
    MOD is the commonly used abbreviation for the United Kingdom’s Ministry of Defence, the government department responsible for implementing defense policy and overseeing the armed forces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f112e48190a3af818c0f6ee839 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.