Triple

T3475275
Position Surface form Disambiguated ID Type / Status
Subject TUI fly Netherlands E73358 entity
Predicate callsign P1565 FINISHED
Object ORANGE
ORANGE is the radio callsign used by the Dutch airline TUI fly Netherlands for its flight operations.
 E361655 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: ORANGE | Statement: [TUI fly Netherlands, callsign, ORANGE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ORANGE
Context triple: [TUI fly Netherlands, callsign, ORANGE]
  • A. Orange
    Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
  • B. Orange
    Orange is a regional city in the Central Tablelands of New South Wales, Australia, known for its cool-climate wines, agriculture, and growing tourism industry.
  • C. Orange
    Orange is the nickname and primary identity of Syracuse University's athletic teams, especially its prominent men's basketball program.
  • D. Orange
    Orange is a historic town in southeastern France best known for giving its name and origin to the Dutch royal House of Orange-Nassau.
  • E. Orange
    Orange is a small suburban village in Cuyahoga County, Ohio, known for its residential character and proximity to the Cleveland metropolitan area.
  • 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: ORANGE
Triple: [TUI fly Netherlands, callsign, ORANGE]
Generated description
ORANGE is the radio callsign used by the Dutch airline TUI fly Netherlands for its flight operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ORANGE
Target entity description: ORANGE is the radio callsign used by the Dutch airline TUI fly Netherlands for its flight operations.
  • A. Orange
    Orange is a regional city in the Central Tablelands of New South Wales, Australia, known for its cool-climate wines, agriculture, and growing tourism industry.
  • B. Orange
    Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
  • C. Orange
    Orange is the nickname and primary identity of Syracuse University's athletic teams, especially its prominent men's basketball program.
  • D. Orange
    Orange is a historic town in southeastern France best known for giving its name and origin to the Dutch royal House of Orange-Nassau.
  • E. Orange
    Orange is a small suburban village in Cuyahoga County, Ohio, known for its residential character and proximity to the Cleveland metropolitan area.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb593a388190b7786190deba96ed completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681586788190ade529f584b76396 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b3696adb2c81909f67c90c31921097 completed March 13, 2026, 1:33 a.m.
NED2 Entity disambiguation (via description) batch_69b36d2bd5e88190b425e71d2585e9dc completed March 13, 2026, 1:49 a.m.
Created at: March 8, 2026, 3:17 p.m.