Triple

T23326395
Position Surface form Disambiguated ID Type / Status
Subject Pontotoc County, Mississippi, United States E591303 entity
Predicate containsSettlement P847 FINISHED
Object Thaxton, Mississippi
Thaxton, Mississippi is a small town located in Pontotoc County in the northern part of the U.S. state of Mississippi.
E1864143 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: Thaxton, Mississippi | Statement: [Pontotoc County, Mississippi, United States, containsSettlement, Thaxton, 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: Thaxton, Mississippi
Triple: [Pontotoc County, Mississippi, United States, containsSettlement, Thaxton, Mississippi]
Generated description
Thaxton, Mississippi is a small town located in Pontotoc County in the northern part of the U.S. state of Mississippi.

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_69e25d1effe4819096907f95f610dbff completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197eaa7b88190aad2096c110dadea completed April 29, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a25c0c023808190bbaa25f6895219a0 completed June 7, 2026, 7:04 p.m.
NEDg Description generation batch_6a25c4f14e108190a8e492f95a1af9b0 completed June 7, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_6a25c93893f88190b77d1054320288dd completed June 7, 2026, 7:40 p.m.
Created at: April 17, 2026, 5:12 p.m.