Triple

T4098454
Position Surface form Disambiguated ID Type / Status
Subject Helsinki Airport E87879 entity
Predicate IATAcode P418 FINISHED
Object HEL
HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
 E412706 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: HEL | Statement: [Helsinki Airport, IATAcode, HEL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HEL
Context triple: [Helsinki Airport, IATAcode, HEL]
  • A. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • B. EH
    EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
  • C. Hel
    Hel is the Norse goddess who rules over the underworld realm of the dead that bears her name.
  • D. Hel
    Hel is a town and popular seaside resort located at the tip of the Hel Peninsula on Poland’s Baltic coast.
  • E. HEE
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • 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: HEL
Triple: [Helsinki Airport, IATAcode, HEL]
Generated description
HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HEL
Target entity description: HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • A. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • B. EH
    EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
  • C. Hel
    Hel is a town and popular seaside resort located at the tip of the Hel Peninsula on Poland’s Baltic coast.
  • D. Hel
    Hel is the Norse goddess who rules over the underworld realm of the dead that bears her name.
  • E. HEE
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefce017708190a4d33753fd32a7bb completed March 9, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b725788819091c6aaeccfb86964 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56c5bb12881908cf2c74d68ecd5b6 completed March 14, 2026, 2:10 p.m.
NED2 Entity disambiguation (via description) batch_69b56cc5c704819083dac59bf7b3cb83 completed March 14, 2026, 2:12 p.m.
Created at: March 9, 2026, 3:40 p.m.