Triple

T29715982
Position Surface form Disambiguated ID Type / Status
Subject 2nd Corps of Turkey E751907 entity
Predicate hasUnit P35 FINISHED
Object 55th Mechanized Infantry Brigade
The 55th Mechanized Infantry Brigade is a Turkish Army mechanized infantry formation known for its role in providing mobile, armored ground combat capabilities within Turkey’s land forces.
E1890340 NE FINISHED

How this triple was built (2 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: 55th Mechanized Infantry Brigade | Statement: [2nd Corps of Turkey, hasUnit, 55th Mechanized Infantry Brigade]
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: 55th Mechanized Infantry Brigade
Triple: [2nd Corps of Turkey, hasUnit, 55th Mechanized Infantry Brigade]
Generated description
The 55th Mechanized Infantry Brigade is a Turkish Army mechanized infantry formation known for its role in providing mobile, armored ground combat capabilities within Turkey’s land forces.

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_69f0d62748848190b030d0a703629a7d completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672dcd4b88190828b19990dfe6ed9 completed May 2, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26f1afd5048190b5172b005c8d2d46 completed June 8, 2026, 4:45 p.m.
NEDg Description generation batch_6a26f3a9e4a48190b792492b75b414d1 completed June 8, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_6a26f40edd2481909dbd5338bbff8b32 completed June 8, 2026, 4:55 p.m.
Created at: April 28, 2026, 7:33 p.m.