Triple

T20533644
Position Surface form Disambiguated ID Type / Status
Subject LIRJ E504133 entity
Predicate hasICAOCode P419 FINISHED
Object LIRJ 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: LIRJ | Statement: [LIRJ, hasICAOCode, LIRJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LIRJ
Context triple: [LIRJ, hasICAOCode, LIRJ]
  • A. LIRJ chosen
    LIRJ is the ICAO airport code for Marina di Campo Airport, a small regional airport serving Elba Island in Italy.
  • B. LIRZ
    LIRZ is the ICAO airport code for Perugia San Francesco d'Assisi – Umbria International Airport in Perugia, Italy.
  • C. LIRF
    LIRF is the ICAO airport code for Leonardo da Vinci–Fiumicino Airport, the main international airport serving Rome, Italy.
  • D. LIRQ
    LIRQ is the ICAO airport code for Florence Airport Peretola, the main international airport serving Florence, Italy.
  • E. lirnyks
    Lirnyks were traditional Ukrainian blind itinerant musicians who accompanied epic songs and spiritual verses on the lira (hurdy-gurdy).
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06d30508190a13d1a9855b441fb completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.