Triple

T8174478
Position Surface form Disambiguated ID Type / Status
Subject ZIPAIR Tokyo E190907 entity
Predicate callsign P1565 FINISHED
Object ZIPPY
ZIPPY is the radio callsign used by ZIPAIR Tokyo, a Japanese low-cost airline based at Tokyo Narita Airport.
 E716203 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: ZIPPY | Statement: [ZIPAIR Tokyo, callsign, ZIPPY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZIPPY
Context triple: [ZIPAIR Tokyo, callsign, ZIPPY]
  • A. Zipper
    Zipper was the codename for a planned British amphibious operation to recapture Malaya from Japanese control near the end of World War II.
  • B. Zinger
    Zinger is a variant of the Singer brand name, best known for its sewing machines and related household products.
  • C. Zebop!
    Zebop! is a 1981 rock album by Santana that blends Latin, rock, and pop influences and features the hit single "Winning."
  • D. Zipper Dipper
    Zipper Dipper is the former name of the Blue Flyer, a classic wooden roller coaster located at Blackpool Pleasure Beach in England.
  • E. Rippy
    Rippy is the official mascot of the New York Riptide professional lacrosse team, known for energizing fans and representing the team at games and community events.
  • 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: ZIPPY
Triple: [ZIPAIR Tokyo, callsign, ZIPPY]
Generated description
ZIPPY is the radio callsign used by ZIPAIR Tokyo, a Japanese low-cost airline based at Tokyo Narita Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZIPPY
Target entity description: ZIPPY is the radio callsign used by ZIPAIR Tokyo, a Japanese low-cost airline based at Tokyo Narita Airport.
  • A. Zipper
    Zipper was the codename for a planned British amphibious operation to recapture Malaya from Japanese control near the end of World War II.
  • B. Zinger
    Zinger is a variant of the Singer brand name, best known for its sewing machines and related household products.
  • C. Zebop!
    Zebop! is a 1981 rock album by Santana that blends Latin, rock, and pop influences and features the hit single "Winning."
  • D. Zipper Dipper
    Zipper Dipper is the former name of the Blue Flyer, a classic wooden roller coaster located at Blackpool Pleasure Beach in England.
  • E. Rippy
    Rippy is the official mascot of the New York Riptide professional lacrosse team, known for energizing fans and representing the team at games and community events.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb480a7ac4819088fabd5bec6ba2e5 completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf6d4ba881908f1bac9cce6cc29d completed April 1, 2026, 6:47 a.m.
NEDg Description generation batch_69ccc313ba7c81909b9ee65b37ed165e completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd84893488190ae5376524650d5c4 completed April 1, 2026, 8:33 a.m.
Created at: March 30, 2026, 5:40 p.m.