Triple

T8174477
Position Surface form Disambiguated ID Type / Status
Subject ZIPAIR Tokyo E190907 entity
Predicate ICAOCode P419 FINISHED
Object TZP
TZP is the ICAO airline designator assigned to ZIPAIR Tokyo, a Japanese low-cost carrier based at Tokyo Narita Airport.
 E716202 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: TZP | Statement: [ZIPAIR Tokyo, ICAOCode, TZP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TZP
Context triple: [ZIPAIR Tokyo, ICAOCode, TZP]
  • A. TGPZ
    TGPZ is the ICAO airport code for Pearls Airport, a former international airport on the island of Grenada in the Caribbean.
  • B. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • C. Zirc
    Zirc is a small Hungarian town in Veszprém County known for its historic Cistercian Abbey and scenic location in the Bakony Mountains.
  • D. Topaze
    Topaze is a celebrated French play by Marcel Pagnol that satirizes corruption and moral compromise through the story of an idealistic schoolteacher drawn into the world of politics and business.
  • E. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • 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: TZP
Triple: [ZIPAIR Tokyo, ICAOCode, TZP]
Generated description
TZP is the ICAO airline designator assigned to ZIPAIR Tokyo, a Japanese low-cost carrier based at Tokyo Narita Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TZP
Target entity description: TZP is the ICAO airline designator assigned to ZIPAIR Tokyo, a Japanese low-cost carrier based at Tokyo Narita Airport.
  • A. TGPZ
    TGPZ is the ICAO airport code for Pearls Airport, a former international airport on the island of Grenada in the Caribbean.
  • B. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • C. Zirc
    Zirc is a small Hungarian town in Veszprém County known for its historic Cistercian Abbey and scenic location in the Bakony Mountains.
  • D. Topaze
    Topaze is a celebrated French play by Marcel Pagnol that satirizes corruption and moral compromise through the story of an idealistic schoolteacher drawn into the world of politics and business.
  • E. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • 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.