Triple

T9547653
Position Surface form Disambiguated ID Type / Status
Subject City of Niš E230334 entity
Predicate airportIATAcode P418 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: [City of Niš, airportIATAcode, INI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INI
Context triple: [City of Niš, airportIATAcode, 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9904732c8190ab60ecc47c995cbe completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c7be5008190a16036525fd9059e completed April 4, 2026, 5:38 p.m.
Created at: March 30, 2026, 8:02 p.m.