Triple

T38296733
Position Surface form Disambiguated ID Type / Status
Subject New Valley Governorate E1032107 entity
Predicate namedAfter P63 FINISHED
Object New Valley Project
The New Valley Project is a major Egyptian land reclamation and development initiative aimed at expanding agricultural and inhabited areas into the Western Desert.
E2265293 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: New Valley Project | Statement: [New Valley Governorate, namedAfter, New Valley Project]
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: New Valley Project
Triple: [New Valley Governorate, namedAfter, New Valley Project]
Generated description
The New Valley Project is a major Egyptian land reclamation and development initiative aimed at expanding agricultural and inhabited areas into the Western Desert.

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_69f76e0f2084819091299d021625c3fe completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc615d9108190bfdcd377786262d5 completed May 7, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a419e049fcc81908f8b0770416ffd89 completed June 28, 2026, 10:19 p.m.
NEDg Description generation batch_6a41a21336148190a5ab88dd18c00cf7 completed June 28, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_6a41a299ddfc81908627bd984350cfeb completed June 28, 2026, 10:39 p.m.
Created at: May 3, 2026, 4:30 p.m.