Triple

T24085532
Position Surface form Disambiguated ID Type / Status
Subject Panola County, Mississippi E596632 entity
Predicate hasTown P847 FINISHED
Object Como, Mississippi
Como, Mississippi is a small town in northern Mississippi known for its rich blues heritage and historic Southern charm.
 E1620199 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: Como, Mississippi | Statement: [Panola County, Mississippi, hasTown, Como, 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: Como, Mississippi
Triple: [Panola County, Mississippi, hasTown, Como, Mississippi]
Generated description
Como, Mississippi is a small town in northern Mississippi known for its rich blues heritage and historic Southern charm.

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_69e288c4638c81909bacc28a1e3d436b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1dc28a7cc81909c76d9d992ac21dc completed April 29, 2026, 10:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad0d48d48190b25ef150c1a341d7 completed May 22, 2026, 1:10 a.m.
NEDg Description generation batch_6a0fadf24a1c8190bf530988ba1b86de completed May 22, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0faeb55b6c8190944d1bd621b3f819 completed May 22, 2026, 1:17 a.m.
Created at: April 17, 2026, 10:44 p.m.