Triple

T35827591
Position Surface form Disambiguated ID Type / Status
Subject Cushing, Texas E1035691 entity
Predicate hasSchoolDistrict P226 FINISHED
Object Cushing Independent School District
Cushing Independent School District is a public school district serving the educational needs of students in and around the small East Texas community of Cushing.
E2160594 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: Cushing Independent School District | Statement: [Cushing, Texas, hasSchoolDistrict, Cushing Independent School District]
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: Cushing Independent School District
Triple: [Cushing, Texas, hasSchoolDistrict, Cushing Independent School District]
Generated description
Cushing Independent School District is a public school district serving the educational needs of students in and around the small East Texas community of Cushing.

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_69f76e185ffc8190880b3cdf51decd38 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a904e1f08190a978af3ab58a6bdd completed May 3, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38a4dd462881909067994b24b9189c completed June 22, 2026, 2:58 a.m.
NEDg Description generation batch_6a38a8c5e7bc8190b05bd14a093c1b6c completed June 22, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_6a38a91db08881908703647901730314 completed June 22, 2026, 3:16 a.m.
Created at: May 3, 2026, 4:06 p.m.