Triple

T24308362
Position Surface form Disambiguated ID Type / Status
Subject Quitman County Public Library in Marks E612595 entity
Predicate county P75 FINISHED
Object Quitman County
Quitman County is a rural county in northwestern Mississippi, known for its agricultural landscape and historical ties to the Mississippi Delta region.
E1634433 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: Quitman County | Statement: [Quitman County Public Library in Marks, county, Quitman County]
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: Quitman County
Triple: [Quitman County Public Library in Marks, county, Quitman County]
Generated description
Quitman County is a rural county in northwestern Mississippi, known for its agricultural landscape and historical ties to the Mississippi Delta region.

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_69e2d7d91bb48190bc5377d17a85fb21 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29228ede48190b05c85320f373155 completed April 29, 2026, 11:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe34d752c81908ee7c1b1b77546db completed May 22, 2026, 5:02 a.m.
NEDg Description generation batch_6a0fe44e2f9c8190a16f81052341c70a completed May 22, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe4e5d698819092a5d1b75f213ca0 completed May 22, 2026, 5:08 a.m.
Created at: April 18, 2026, 1:32 a.m.