Triple

T8643224
Position Surface form Disambiguated ID Type / Status
Subject Tarco Aviation E204706 entity
Predicate callsign P1565 FINISHED
Object TARCO
TARCO is the airline callsign used by Tarco Aviation, a Sudanese carrier operating regional and international passenger flights.
 E747837 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: TARCO | Statement: [Tarco Aviation, callsign, TARCO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TARCO
Context triple: [Tarco Aviation, callsign, TARCO]
  • A. TARS
    TARS is a witty, modular, and highly capable robotic assistant featured in the science fiction film "Interstellar."
  • B. TAC
    TAC is the commonly used abbreviation for The Athletic Congress, the former governing body for track and field in the United States.
  • C. Tafers
    Tafers is a municipality in western Switzerland that serves as an important local center in the predominantly German-speaking part of the canton of Fribourg.
  • D. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • E. Tarare
    Tarare is a commune in eastern France known historically for its textile industry and its location in the hilly Beaujolais region of the Rhône department.
  • 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: TARCO
Triple: [Tarco Aviation, callsign, TARCO]
Generated description
TARCO is the airline callsign used by Tarco Aviation, a Sudanese carrier operating regional and international passenger flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TARCO
Target entity description: TARCO is the airline callsign used by Tarco Aviation, a Sudanese carrier operating regional and international passenger flights.
  • A. TARS
    TARS is a witty, modular, and highly capable robotic assistant featured in the science fiction film "Interstellar."
  • B. TAC
    TAC is the commonly used abbreviation for The Athletic Congress, the former governing body for track and field in the United States.
  • C. Tafers
    Tafers is a municipality in western Switzerland that serves as an important local center in the predominantly German-speaking part of the canton of Fribourg.
  • D. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • E. Tarare
    Tarare is a commune in eastern France known historically for its textile industry and its location in the hilly Beaujolais region of the Rhône department.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc479720f481908ee2b12c2775e76a completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc42922c819099a464d2e347dec4 completed April 2, 2026, 6:58 p.m.
NEDg Description generation batch_69cec03fa5dc8190bbfe40aa1a3b27c1 completed April 2, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69cec0cac51c8190962a23d53c1fb48b completed April 2, 2026, 7:17 p.m.
Created at: March 30, 2026, 6:28 p.m.