Triple

T9857325
Position Surface form Disambiguated ID Type / Status
Subject Lublin Airport E239619 entity
Predicate ICAOcode P419 FINISHED
Object EPLB
EPLB is the ICAO airport code for Lublin Airport, a commercial airport serving the city of Lublin in eastern Poland.
 E825702 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: EPLB | Statement: [Lublin Airport, ICAOcode, EPLB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EPLB
Context triple: [Lublin Airport, ICAOcode, EPLB]
  • A. EBBL
    EBBL is the ICAO airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
  • B. ECPL
    ECPL is the acronym for the Eastern Cape Provincial Legislature, the legislative body governing South Africa’s Eastern Cape province.
  • C. EPL
    EPL is a widely used open-source software license created by the Eclipse Foundation that governs the use, modification, and distribution of Eclipse-related and other compatible software.
  • D. ELKB
    ELKB is the Evangelical Lutheran regional church body serving the Protestant community in the German state of Bavaria.
  • E. EFLP
    EFLP is the ICAO airport code for Lappeenranta Airport in Lappeenranta, Finland.
  • 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: EPLB
Triple: [Lublin Airport, ICAOcode, EPLB]
Generated description
EPLB is the ICAO airport code for Lublin Airport, a commercial airport serving the city of Lublin in eastern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EPLB
Target entity description: EPLB is the ICAO airport code for Lublin Airport, a commercial airport serving the city of Lublin in eastern Poland.
  • A. EBBL
    EBBL is the ICAO airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
  • B. ECPL
    ECPL is the acronym for the Eastern Cape Provincial Legislature, the legislative body governing South Africa’s Eastern Cape province.
  • C. EPL
    EPL is a widely used open-source software license created by the Eclipse Foundation that governs the use, modification, and distribution of Eclipse-related and other compatible software.
  • D. ELKB
    ELKB is the Evangelical Lutheran regional church body serving the Protestant community in the German state of Bavaria.
  • E. EFLP
    EFLP is the ICAO airport code for Lappeenranta Airport in Lappeenranta, Finland.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb39864188190a2d8c0ee911f00c2 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e43b2de881909e00f6701d1c7b54 completed April 5, 2026, 4:25 a.m.
NEDg Description generation batch_69d1e5204f748190b1f56ee5469828a2 completed April 5, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69d1e598243481909278cb3c911ce3db completed April 5, 2026, 4:31 a.m.
Created at: March 30, 2026, 8:35 p.m.