Triple

T35025354
Position Surface form Disambiguated ID Type / Status
Subject El Dorado, Kansas E1010319 entity
Predicate hasNewspaper P80 FINISHED
Object Butler County Times-Gazette
The Butler County Times-Gazette is a local newspaper serving El Dorado and the surrounding Butler County area in Kansas with community news and information.
E2122450 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: Butler County Times-Gazette | Statement: [El Dorado, Kansas, hasNewspaper, Butler County Times-Gazette]
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: Butler County Times-Gazette
Triple: [El Dorado, Kansas, hasNewspaper, Butler County Times-Gazette]
Generated description
The Butler County Times-Gazette is a local newspaper serving El Dorado and the surrounding Butler County area in Kansas with community news and information.

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_69f76dccf0108190af43b465d3750196 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7854102748190b5f5ab280caf865d completed May 3, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37bd25430c8190ae4e4330e9a05028 completed June 21, 2026, 10:29 a.m.
NEDg Description generation batch_6a37bdbfc9cc819084ddf81c6fd956a7 completed June 21, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_6a37beb690cc8190909845aa686fe2f9 completed June 21, 2026, 10:36 a.m.
Created at: May 3, 2026, 4:01 p.m.