Triple

T7501212
Position Surface form Disambiguated ID Type / Status
Subject Tirana International Airport E177263 entity
Predicate ICAO code P419 FINISHED
Object LATI E668650 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: LATI | Statement: [Tirana International Airport, ICAO code, LATI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LATI
Context triple: [Tirana International Airport, ICAO code, LATI]
  • A. LATI chosen
    LATI is the ICAO airport code for Tirana International Airport Nënë Tereza, the main international gateway to Albania.
  • B. LAT
    LAT is the International Ice Hockey Federation (IIHF) country code used to represent the Latvia men's national ice hockey team in international competitions.
  • C. LAT
    LAT is the Large Area Telescope, a high-energy gamma-ray detector aboard NASA's Fermi Gamma-ray Space Telescope used to study cosmic gamma-ray sources.
  • D. LAC
    LAC refers to the Los Angeles Clippers, a professional NBA basketball team based in Los Angeles and a crosstown rival of the Los Angeles Lakers.
  • E. LAJ
    LAJ is the station code for La Junta station, an Amtrak railroad stop in La Junta, Colorado, serving long-distance passenger trains.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f59aabb8819085bdbe9c793d5b8b completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84608021481908ce58a131d75188b completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:44 p.m.