Triple

T25591489
Position Surface form Disambiguated ID Type / Status
Subject Orascom Construction Industries E641533 entity
Predicate hasSubsidiary P254 FINISHED
Object Orascom Construction Limited
Orascom Construction Limited is an international engineering and construction company involved in large-scale infrastructure, industrial, and commercial projects across the Middle East, Africa, and other global markets.
E641533 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: Orascom Construction Limited | Statement: [Orascom Construction Industries, hasSubsidiary, Orascom Construction Limited]
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: Orascom Construction Limited
Triple: [Orascom Construction Industries, hasSubsidiary, Orascom Construction Limited]
Generated description
Orascom Construction Limited is an international engineering and construction company involved in large-scale infrastructure, industrial, and commercial projects across the Middle East, Africa, and other global markets.

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_69e75dc60d108190b7e2419e36b0134b completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f96dd7dc8190a2d174239821d8bd completed May 2, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118f7d83508190acdd6ffe067d6fac completed May 23, 2026, 11:29 a.m.
NEDg Description generation batch_6a1190713f4c819082a89700881a3c46 completed May 23, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_6a119145a7008190b6b01851f1ee63ad completed May 23, 2026, 11:36 a.m.
Created at: April 21, 2026, 4:24 p.m.