Triple

T16870661
Position Surface form Disambiguated ID Type / Status
Subject Lubbock Division of the Northern District of Texas E421156 entity
Predicate servesCounty P82 FINISHED
Object Hardeman County, Texas
Hardeman County, Texas is a rural county in North Texas known for its agricultural economy and small communities near the Oklahoma border.
E2288024 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: Hardeman County, Texas | Statement: [Lubbock Division of the Northern District of Texas, servesCounty, Hardeman County, Texas]
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: Hardeman County, Texas
Triple: [Lubbock Division of the Northern District of Texas, servesCounty, Hardeman County, Texas]
Generated description
Hardeman County, Texas is a rural county in North Texas known for its agricultural economy and small communities near the Oklahoma border.

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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f1fe5881909b18438d771814e9 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5a5d8b1b2c8190be4d03af0cf54b51 completed July 17, 2026, 4:51 p.m.
NEDg Description generation batch_6a5a5ede143c8190b950f1b56bbd9df0 completed July 17, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_6a5a5f44a25c81909beb4bc401446304 completed July 17, 2026, 4:58 p.m.
Created at: April 10, 2026, 5:29 a.m.