Triple

T9048672
Position Surface form Disambiguated ID Type / Status
Subject Vanilla Air E216825 entity
Predicate IATAcode P418 FINISHED
Object JW
JW is the IATA airline designator assigned to Vanilla Air, a former Japanese low-cost carrier.
 E774480 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: JW | Statement: [Vanilla Air, IATAcode, JW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JW
Context triple: [Vanilla Air, IATAcode, JW]
  • A. JWY
    JWY is the FAA location identifier for Mid-Way Regional Airport, a public airport serving the Midlothian and Waxahachie area in Texas.
  • B. JWG
    JWG is the abbreviation for the Joint Working Group, a collaborative body that fosters dialogue and cooperation between the Roman Catholic Church and the World Council of Churches.
  • C. JWC
    JWC is the commonly used abbreviation for NATO's Joint Warfare Centre, a key training and doctrine development facility for joint and combined operations.
  • D. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • E. JU
    JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
  • 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: JW
Triple: [Vanilla Air, IATAcode, JW]
Generated description
JW is the IATA airline designator assigned to Vanilla Air, a former Japanese low-cost carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JW
Target entity description: JW is the IATA airline designator assigned to Vanilla Air, a former Japanese low-cost carrier.
  • A. JWY
    JWY is the FAA location identifier for Mid-Way Regional Airport, a public airport serving the Midlothian and Waxahachie area in Texas.
  • B. JWG
    JWG is the abbreviation for the Joint Working Group, a collaborative body that fosters dialogue and cooperation between the Roman Catholic Church and the World Council of Churches.
  • C. JWC
    JWC is the commonly used abbreviation for NATO's Joint Warfare Centre, a key training and doctrine development facility for joint and combined operations.
  • D. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • E. JU
    JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
  • 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.