Triple

T8929688
Position Surface form Disambiguated ID Type / Status
Subject Instituto Nacional de Industria E212618 entity
Predicate abbreviation P43 FINISHED
Object INI E461440 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: INI | Statement: [Instituto Nacional de Industria, abbreviation, INI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INI
Context triple: [Instituto Nacional de Industria, abbreviation, INI]
  • A. INI chosen
    INI is the IATA airport code for Niš Constantine the Great Airport, the main international airport serving the city of Niš in Serbia.
  • B. INX
    INX is a file format used by Adobe InDesign to exchange and preserve document structure and layout information across different versions of the software.
  • C. INA
    INA is the commonly used abbreviation for the U.S. Immigration and Nationality Act, the foundational federal law governing immigration and citizenship in the United States.
  • D. INA
    INA refers to the Indian National Army, a military force formed during World War II to fight against British colonial rule in India, primarily under the leadership of Subhas Chandra Bose.
  • E. .INX
    .INX is the ticker symbol used to represent the S&P 500 stock market index, a key benchmark of large-cap U.S. equities.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6676d5d881908ce78cbb5561a68b completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1d55d84819094bc2b6e3dd94254 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:57 p.m.