Triple

T6163817
Position Surface form Disambiguated ID Type / Status
Subject Hazrat Shahjalal International Airport E137507 entity
Predicate hubFor P423 FINISHED
Object Novoair
Novoair is a Bangladeshi domestic airline known for operating scheduled passenger services primarily within Bangladesh.
 E573570 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: Novoair | Statement: [Hazrat Shahjalal International Airport, hubFor, Novoair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Novoair
Context triple: [Hazrat Shahjalal International Airport, hubFor, Novoair]
  • A. J-Air
    J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
  • B. Singulair
    Singulair is a prescription leukotriene receptor antagonist (montelukast) commonly used to prevent and manage asthma and allergy symptoms.
  • C. Optax
    Optax is a gradient processing and optimization library for JAX, providing a flexible collection of composable optimizers and transformations for training machine learning models.
  • D. Novafora
    Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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: Novoair
Triple: [Hazrat Shahjalal International Airport, hubFor, Novoair]
Generated description
Novoair is a Bangladeshi domestic airline known for operating scheduled passenger services primarily within Bangladesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Novoair
Target entity description: Novoair is a Bangladeshi domestic airline known for operating scheduled passenger services primarily within Bangladesh.
  • A. J-Air
    J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
  • B. Singulair
    Singulair is a prescription leukotriene receptor antagonist (montelukast) commonly used to prevent and manage asthma and allergy symptoms.
  • C. Optax
    Optax is a gradient processing and optimization library for JAX, providing a flexible collection of composable optimizers and transformations for training machine learning models.
  • D. Novafora
    Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d6036f88190a4bf540e7fe8d48d completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419e7f0481908b7ce6f36871f1ad completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c14855288881909b842db040fe5c54 completed March 23, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69c148d16c048190a473e8f49df43705 completed March 23, 2026, 2:06 p.m.
Created at: March 22, 2026, 4:17 p.m.