Triple

T4208527
Position Surface form Disambiguated ID Type / Status
Subject Flying Blue E93839 entity
Predicate loyaltyCurrency P9554 FINISHED
Object Miles
Miles are the reward points earned and redeemed by members of the Flying Blue frequent flyer loyalty program.
 E420894 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: Miles | Statement: [Flying Blue, loyaltyCurrency, Miles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miles
Context triple: [Flying Blue, loyaltyCurrency, Miles]
  • A. Miles
    Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
  • B. Miles
    Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
  • C. Miles
    Miles is a small rural town in Queensland, Australia, known as a service and transport hub for the surrounding agricultural and resource-producing region.
  • D. D'Mile
    D'Mile is a Grammy-winning American record producer and songwriter known for his work with artists like H.E.R., Silk Sonic, and Lucky Daye.
  • E. Enrich Miles
    Enrich Miles was the frequent-flyer loyalty currency used by Malaysia Airlines’ Enrich program for earning and redeeming travel rewards.
  • 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: Miles
Triple: [Flying Blue, loyaltyCurrency, Miles]
Generated description
Miles are the reward points earned and redeemed by members of the Flying Blue frequent flyer loyalty program.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miles
Target entity description: Miles are the reward points earned and redeemed by members of the Flying Blue frequent flyer loyalty program.
  • A. Miles
    Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
  • B. Miles
    Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
  • C. Miles
    Miles is a small rural town in Queensland, Australia, known as a service and transport hub for the surrounding agricultural and resource-producing region.
  • D. D'Mile
    D'Mile is a Grammy-winning American record producer and songwriter known for his work with artists like H.E.R., Silk Sonic, and Lucky Daye.
  • E. Enrich Miles
    Enrich Miles was the frequent-flyer loyalty currency used by Malaysia Airlines’ Enrich program for earning and redeeming travel rewards.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3480f80208190b08ca6ccfe9c41f6 completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5962bb63c81909e28a958323edb82 completed March 14, 2026, 5:08 p.m.
NEDg Description generation batch_69b596b7330081908c66a5a756531ffd completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b5976663d88190a73a729554e91074 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:03 p.m.