Triple

T33120665
Position Surface form Disambiguated ID Type / Status
Subject Saudi Arabia–Yemen border area E847586 entity
Predicate borderDefinedByTreaty P14046 FINISHED
Object Jeddah Treaty
The Jeddah Treaty is a 2000 border agreement between Saudi Arabia and Yemen that formally delineated their land and maritime boundaries and aimed to resolve longstanding territorial disputes.
E2037891 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: Jeddah Treaty | Statement: [Saudi Arabia–Yemen border area, borderDefinedByTreaty, Jeddah Treaty]
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: Jeddah Treaty
Triple: [Saudi Arabia–Yemen border area, borderDefinedByTreaty, Jeddah Treaty]
Generated description
The Jeddah Treaty is a 2000 border agreement between Saudi Arabia and Yemen that formally delineated their land and maritime boundaries and aimed to resolve longstanding territorial disputes.

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_69f3495751a081909850af5843da40dc completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff28faac6c81908c427262a31f2fd6 completed May 9, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3516145aa88190920b6c6aec9c4b4b completed June 19, 2026, 10:12 a.m.
NEDg Description generation batch_6a3517f235388190b4f079e7ac29bcb7 completed June 19, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a35186e68f88190834d45a9cc3643e9 completed June 19, 2026, 10:22 a.m.
Created at: May 1, 2026, 1:27 a.m.