Triple

T24845916
Position Surface form Disambiguated ID Type / Status
Subject Great Rift Valley E621744 entity
Predicate passesThrough P225 FINISHED
Object Jordan
Jordan is a Middle Eastern country on the east bank of the Jordan River, known for its desert landscapes, ancient archaeological sites like Petra, and its location along the Great Rift Valley.
E11658 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: Jordan | Statement: [Great Rift Valley, passesThrough, Jordan]
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: Jordan
Triple: [Great Rift Valley, passesThrough, Jordan]
Generated description
Jordan is a Middle Eastern country on the east bank of the Jordan River, known for its desert landscapes, ancient archaeological sites like Petra, and its location along the Great Rift Valley.

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_69e2fac297e481909d3aedc75f585e42 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f422cd95e481908eb2982571403b4e completed May 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101bf04254819087a9d4565dc5f162 completed May 22, 2026, 9:03 a.m.
NEDg Description generation batch_6a1022b9bb3881908bd69533d25a9d03 completed May 22, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a1026a252e881909c418e76ea09eb36 completed May 22, 2026, 9:49 a.m.
Created at: April 18, 2026, 5:19 a.m.