Triple

T28314653
Position Surface form Disambiguated ID Type / Status
Subject Meis E714099 entity
Predicate hasAirport P105 FINISHED
Object Kastellorizo Island Public Airport
Kastellorizo Island Public Airport is a small regional airport in Greece serving the remote island of Kastellorizo (Meis) with domestic flights to the mainland.
E1812538 NE FINISHED

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: Kastellorizo Island Public Airport | Statement: [Meis, hasAirport, Kastellorizo Island Public Airport]
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: Kastellorizo Island Public Airport
Triple: [Meis, hasAirport, Kastellorizo Island Public Airport]
Generated description
Kastellorizo Island Public Airport is a small regional airport in Greece serving the remote island of Kastellorizo (Meis) with domestic flights to the mainland.

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_69efb5256afc8190b9322d25c3ae6320 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f644e49c448190a394f783d9fc3129 completed May 2, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16073efc6c819086432c7ac5d9d590 completed May 26, 2026, 8:49 p.m.
NEDg Description generation batch_6a161404f5908190993589611f152cd1 completed May 26, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_6a1616734eac8190947663ebe6c3d478 completed May 26, 2026, 9:53 p.m.
Created at: April 27, 2026, 11:42 p.m.