Triple

T38328510
Position Surface form Disambiguated ID Type / Status
Subject Qatar Foundation Education City campus E1036855 entity
Predicate hasFacility P105 FINISHED
Object Qatar Leadership Academy
Qatar Leadership Academy is a specialized educational institution in Qatar that focuses on developing future leaders through a blend of academic, military, and character-building programs.
E2266820 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: Qatar Leadership Academy | Statement: [Qatar Foundation Education City campus, hasFacility, Qatar Leadership Academy]
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: Qatar Leadership Academy
Triple: [Qatar Foundation Education City campus, hasFacility, Qatar Leadership Academy]
Generated description
Qatar Leadership Academy is a specialized educational institution in Qatar that focuses on developing future leaders through a blend of academic, military, and character-building programs.

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_69f76e1c16fc8190bde982289dd5106b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc6901a5c8190a0a6abace87e53c8 completed May 7, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41a7e947b081908757acfb80fa3bc4 completed June 28, 2026, 11:02 p.m.
NEDg Description generation batch_6a41aba1bba08190abafcf9eec135d6b completed June 28, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a41ac93532c8190970eb861195451b9 completed June 28, 2026, 11:21 p.m.
Created at: May 3, 2026, 4:30 p.m.