Triple

T14715658
Position Surface form Disambiguated ID Type / Status
Subject Heraklion International Airport E345672 entity
Predicate IATAcode P418 FINISHED
Object HER
HER is the IATA airport code for Heraklion International Airport, the main air gateway to the Greek island of Crete.
 E1116489 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: HER | Statement: [Heraklion International Airport, IATAcode, HER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HER
Context triple: [Heraklion International Airport, IATAcode, HER]
  • A. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • B. HER
    HER is the official herbarium code assigned to the Berggarten botanical collection, used in scientific and taxonomic references.
  • C. HER
    HER is a reinforcement learning technique that improves learning from sparse rewards by reinterpreting failed experiences as successful ones for alternative goals.
  • D. HER
    HER is the vehicle registration code assigned to the town of Herne in the German state of North Rhine-Westphalia.
  • E. Her
    Her is the standard three-letter IAU abbreviation for the northern constellation Hercules.
  • 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: HER
Triple: [Heraklion International Airport, IATAcode, HER]
Generated description
HER is the IATA airport code for Heraklion International Airport, the main air gateway to the Greek island of Crete.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HER
Target entity description: HER is the IATA airport code for Heraklion International Airport, the main air gateway to the Greek island of Crete.
  • A. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • B. HER
    HER is the official herbarium code assigned to the Berggarten botanical collection, used in scientific and taxonomic references.
  • C. HER
    HER is a reinforcement learning technique that improves learning from sparse rewards by reinterpreting failed experiences as successful ones for alternative goals.
  • D. HER
    HER is the vehicle registration code assigned to the town of Herne in the German state of North Rhine-Westphalia.
  • E. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98513b081908b230f6ac79c72ad completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0913d6c8190886df4cd0a92aa80 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf3f89f088190ab745bddcc99a36c completed May 8, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69fdf47f265c8190a5494dcc7baf00fa completed May 8, 2026, 2:34 p.m.
Created at: April 10, 2026, 1:29 a.m.