Triple

T24145457
Position Surface form Disambiguated ID Type / Status
Subject Strayhorn, Mississippi E598369 entity
Predicate region P40 FINISHED
Object Northwest Mississippi
Northwest Mississippi is a region of the U.S. state of Mississippi known for its rural communities, agricultural landscape, and proximity to the Memphis metropolitan area.
E1633750 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: Northwest Mississippi | Statement: [Strayhorn, Mississippi, region, Northwest Mississippi]
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: Northwest Mississippi
Triple: [Strayhorn, Mississippi, region, Northwest Mississippi]
Generated description
Northwest Mississippi is a region of the U.S. state of Mississippi known for its rural communities, agricultural landscape, and proximity to the Memphis metropolitan area.

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_69e288c9e488819093dd1acd91b08b8a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e00a37b881909e31f85a667e6d83 completed April 29, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe33fb58481909d8e06087fd0508f completed May 22, 2026, 5:01 a.m.
NEDg Description generation batch_6a0fe3f19fec81909b7dd2fd9975336e completed May 22, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe46b72b48190b2c0d2d9ddaf3107 completed May 22, 2026, 5:06 a.m.
Created at: April 17, 2026, 11:29 p.m.