Triple

T9048674
Position Surface form Disambiguated ID Type / Status
Subject Vanilla Air E216825 entity
Predicate callsign P1565 FINISHED
Object VANILLA
VANILLA is the radio callsign used by Vanilla Air, a former Japanese low-cost airline.
 E774482 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: VANILLA | Statement: [Vanilla Air, callsign, VANILLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VANILLA
Context triple: [Vanilla Air, callsign, VANILLA]
  • A. Vanilla Dome
    Vanilla Dome is an underground, lava-filled world in Super Mario World featuring maze-like caverns and challenging platforming stages.
  • B. Vannessa
    Vannessa is a feminine given name, used as a variant spelling of Vanessa.
  • C. Vanilla Alliance
    Vanilla Alliance is a regional airline alliance of Indian Ocean carriers that promotes cooperation and connectivity among member airlines serving island destinations such as Mauritius, Réunion, Madagascar, and the Seychelles.
  • D. Caramel
    "Caramel" is a mellow, jazz-tinged song by American singer-songwriter Suzanne Vega, known for its sultry mood and appearance on the soundtrack of the film "The Truth About Cats & Dogs."
  • E. Vanil Noir
    Vanil Noir is a prominent mountain peak in the Swiss Prealps, known for its rugged limestone cliffs and panoramic views over the canton of Fribourg.
  • 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: VANILLA
Triple: [Vanilla Air, callsign, VANILLA]
Generated description
VANILLA is the radio callsign used by Vanilla Air, a former Japanese low-cost airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VANILLA
Target entity description: VANILLA is the radio callsign used by Vanilla Air, a former Japanese low-cost airline.
  • A. Vanilla Dome
    Vanilla Dome is an underground, lava-filled world in Super Mario World featuring maze-like caverns and challenging platforming stages.
  • B. Vannessa
    Vannessa is a feminine given name, used as a variant spelling of Vanessa.
  • C. Vanilla Alliance
    Vanilla Alliance is a regional airline alliance of Indian Ocean carriers that promotes cooperation and connectivity among member airlines serving island destinations such as Mauritius, Réunion, Madagascar, and the Seychelles.
  • D. Caramel
    "Caramel" is a mellow, jazz-tinged song by American singer-songwriter Suzanne Vega, known for its sultry mood and appearance on the soundtrack of the film "The Truth About Cats & Dogs."
  • E. Vanil Noir
    Vanil Noir is a prominent mountain peak in the Swiss Prealps, known for its rugged limestone cliffs and panoramic views over the canton of Fribourg.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b51aa708190a37feecfd8deed2f completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebc0fd648190b0dd6cf62605b98f completed April 3, 2026, 4:33 p.m.
NEDg Description generation batch_69cfed4fb6cc8190bb97345dd392b25b completed April 3, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69cfedf299908190852cc627fd7134b9 completed April 3, 2026, 4:42 p.m.
Created at: March 30, 2026, 7:09 p.m.