Triple

T28751267
Position Surface form Disambiguated ID Type / Status
Subject Nome of Upper Egypt E731533 entity
Predicate locatedIn P40 FINISHED
Object southern Nile Valley
The southern Nile Valley is the stretch of the Nile River in Upper Egypt and northern Sudan characterized by its narrow fertile floodplain bordered by desert.
 E43181 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: southern Nile Valley | Statement: [Nome of Upper Egypt, locatedIn, southern Nile Valley]
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: southern Nile Valley
Triple: [Nome of Upper Egypt, locatedIn, southern Nile Valley]
Generated description
The southern Nile Valley is the stretch of the Nile River in Upper Egypt and northern Sudan characterized by its narrow fertile floodplain bordered by 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_69f043ed68a881909e858a06bab7a247 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f657f653448190a945b4751af8507d completed May 2, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf727cb0819098c5a8d9b2db3ea7 completed June 1, 2026, 12:16 a.m.
NEDg Description generation batch_6a1cd03986848190a322d5273d0164d0 completed June 1, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_6a24947d54208190bbc915f3e5d8295a completed June 6, 2026, 9:43 p.m.
Created at: April 28, 2026, 6:07 a.m.