Triple

T3776031
Position Surface form Disambiguated ID Type / Status
Subject Turkish Air Force E83310 entity
Predicate abbreviation P43 FINISHED
Object TuAF
TuAF is the commonly used abbreviation for the Turkish Air Force, the aerial warfare branch of Turkey’s armed forces.
 E386503 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: TuAF | Statement: [Turkish Air Force, abbreviation, TuAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TuAF
Context triple: [Turkish Air Force, abbreviation, TuAF]
  • A. TA
    TA is the IATA airline designator assigned to TACA Airlines, a major Central American carrier that later merged into Avianca.
  • B. TA
    TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
  • C. TA
    TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
  • D. TU
    TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
  • E. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • 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: TuAF
Triple: [Turkish Air Force, abbreviation, TuAF]
Generated description
TuAF is the commonly used abbreviation for the Turkish Air Force, the aerial warfare branch of Turkey’s armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TuAF
Target entity description: TuAF is the commonly used abbreviation for the Turkish Air Force, the aerial warfare branch of Turkey’s armed forces.
  • A. TA
    TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
  • B. TA
    TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
  • C. TA
    TA is the IATA airline designator assigned to TACA Airlines, a major Central American carrier that later merged into Avianca.
  • D. TU
    TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
  • E. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5be3c48190a72e840d8214bb74 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e53209888190823412fabacbc914 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e60c23608190977198b6344ff09d completed March 14, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4e686bf2c8190aac01d6c1014c1d4 completed March 14, 2026, 4:39 a.m.
Created at: March 8, 2026, 3:36 p.m.