Triple

T10117760
Position Surface form Disambiguated ID Type / Status
Subject Šiauliai Air Base E223205 entity
Predicate hasICAOCode P419 FINISHED
Object EYSA
EYSA is the ICAO airport code for Šiauliai Air Base, a military airfield in Lithuania.
 E842288 NE FINISHED

How this triple was built (4 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: EYSA | Statement: [Šiauliai Air Base, hasICAOCode, EYSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EYSA
Context triple: [Šiauliai Air Base, hasICAOCode, EYSA]
  • A. EYKA
    EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
  • B. EYD
    EYD is the commonly used abbreviation for "Ejaan Yang Disempurnakan," the standardized Indonesian spelling system officially adopted in Indonesia.
  • C. EYCI
    EYCI is the commonly used abbreviation for East York Collegiate Institute, a public secondary school in Toronto, Ontario, Canada.
  • D. YSE
    YSE is a graduate professional school at Yale University focused on environmental science, policy, and management.
  • E. EYW
    EYW is the IATA airport code for Key West International Airport, a small commercial airport serving Key West in the Florida Keys, USA.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: EYSA
Triple: [Šiauliai Air Base, hasICAOCode, EYSA]
Generated description
EYSA is the ICAO airport code for Šiauliai Air Base, a military airfield in Lithuania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EYSA
Target entity description: EYSA is the ICAO airport code for Šiauliai Air Base, a military airfield in Lithuania.
  • A. EYKA
    EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
  • B. EYD
    EYD is the commonly used abbreviation for "Ejaan Yang Disempurnakan," the standardized Indonesian spelling system officially adopted in Indonesia.
  • C. EYCI
    EYCI is the commonly used abbreviation for East York Collegiate Institute, a public secondary school in Toronto, Ontario, Canada.
  • D. YSE
    YSE is a graduate professional school at Yale University focused on environmental science, policy, and management.
  • E. EYW
    EYW is the IATA airport code for Key West International Airport, a small commercial airport serving Key West in the Florida Keys, USA.
  • F. None of above. chosen

Provenance (5 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd26317948190901197adbac01ed3 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc350310819096cca4cc251e3428 completed April 5, 2026, 8:55 p.m.
NEDg Description generation batch_69d2cd8f0a688190a437b7e2d158c70c completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce422e4c8190b54b94cdfa0c4c98 completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:04 p.m.