Triple

T28655135
Position Surface form Disambiguated ID Type / Status
Subject Lahore–Jeddah E725309 entity
Predicate region P40 FINISHED
Object South Asia–Middle East
South Asia–Middle East is a broad transregional area linking the Indian subcontinent with the Arabian Peninsula and surrounding Middle Eastern countries through historical, cultural, economic, and migratory ties.
 E1831185 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: South Asia–Middle East | Statement: [Lahore–Jeddah, region, South Asia–Middle East]
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: South Asia–Middle East
Triple: [Lahore–Jeddah, region, South Asia–Middle East]
Generated description
South Asia–Middle East is a broad transregional area linking the Indian subcontinent with the Arabian Peninsula and surrounding Middle Eastern countries through historical, cultural, economic, and migratory ties.

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_69f01d84f5f0819087ab5e6143b14ed7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f652e7ddbc819081fb12318336e75d completed May 2, 2026, 7:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf3c6160819088803a76998687ab completed June 1, 2026, 12:15 a.m.
NEDg Description generation batch_6a1ccff86fc88190b1438e77f3a5f101 completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a24946ccd908190ae144fbc7010aca9 completed June 6, 2026, 9:43 p.m.
Created at: April 28, 2026, 4:54 a.m.