Triple

T15938822
Position Surface form Disambiguated ID Type / Status
Subject ANKA UAV E386506 entity
Predicate alsoKnownAs P39 FINISHED
Object TAI Anka
TAI Anka is a Turkish medium-altitude long-endurance (MALE) unmanned aerial vehicle developed by Turkish Aerospace Industries for reconnaissance, surveillance, and combat missions.
E1185418 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: TAI Anka | Statement: [ANKA UAV, alsoKnownAs, TAI Anka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAI Anka
Context triple: [ANKA UAV, alsoKnownAs, TAI Anka]
  • A. Tayasan
    Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
  • B. Tiance
    Tiance was one of the reign era names used by Wu Zetian, the only female emperor in Chinese history, during her rule in the Tang dynasty.
  • C. Taisa
    Taisa is the Japanese naval rank equivalent to captain in Western navies.
  • D. Tawailia Uma
    Tawailia Uma is an alternate name for the Uma language, an indigenous language spoken in parts of Indonesia.
  • E. Tajie
    Tajie is a rapper associated with Theodore Unit, the Staten Island hip hop collective founded by Ghostface Killah.
  • 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: TAI Anka
Triple: [ANKA UAV, alsoKnownAs, TAI Anka]
Generated description
TAI Anka is a Turkish medium-altitude long-endurance (MALE) unmanned aerial vehicle developed by Turkish Aerospace Industries for reconnaissance, surveillance, and combat missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TAI Anka
Target entity description: TAI Anka is a Turkish medium-altitude long-endurance (MALE) unmanned aerial vehicle developed by Turkish Aerospace Industries for reconnaissance, surveillance, and combat missions.
  • A. Tayasan
    Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
  • B. Tiance
    Tiance was one of the reign era names used by Wu Zetian, the only female emperor in Chinese history, during her rule in the Tang dynasty.
  • C. Taisa
    Taisa is the Japanese naval rank equivalent to captain in Western navies.
  • D. Tawailia Uma
    Tawailia Uma is an alternate name for the Uma language, an indigenous language spoken in parts of Indonesia.
  • E. Tajie
    Tajie is a rapper associated with Theodore Unit, the Staten Island hip hop collective founded by Ghostface Killah.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ac934c8190b6178eb66023252e completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5ba070c8190b6af6cb21bddd7f1 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb77a69188190a7b4910a0ce2534c completed May 9, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69ffbbcd0a948190972ddf2202faa85b completed May 9, 2026, 10:57 p.m.
Created at: April 10, 2026, 4:53 a.m.