Triple

T32080091
Position Surface form Disambiguated ID Type / Status
Subject Belgian Flight Information Region E819269 entity
Predicate neighboringFIR P17964 FINISHED
Object Paris Flight Information Region
The Paris Flight Information Region is a designated area of French airspace managed by air traffic control authorities responsible for overseeing and coordinating aircraft operations within its boundaries.
E1990491 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: Paris Flight Information Region | Statement: [Belgian Flight Information Region, neighboringFIR, Paris Flight Information Region]
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: Paris Flight Information Region
Triple: [Belgian Flight Information Region, neighboringFIR, Paris Flight Information Region]
Generated description
The Paris Flight Information Region is a designated area of French airspace managed by air traffic control authorities responsible for overseeing and coordinating aircraft operations within its boundaries.

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_69f348ff8ef88190931c08ba530a36bc completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6de0ee2308190a9fa3e8b54490e29 completed May 3, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2edded49008190b58e1fafef3968d4 completed June 14, 2026, 4:59 p.m.
NEDg Description generation batch_6a2ede66f14c8190886168756794a63e completed June 14, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a2edfcbf05481908b10310ec4536277 completed June 14, 2026, 5:07 p.m.
Created at: May 1, 2026, 12:24 a.m.