Triple

T35829410
Position Surface form Disambiguated ID Type / Status
Subject Diboll, Texas E1035749 entity
Predicate publicSchoolDistrict P226 FINISHED
Object Diboll Independent School District
Diboll Independent School District is a public school system serving students in the small East Texas community of Diboll and surrounding areas.
E2286852 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: Diboll Independent School District | Statement: [Diboll, Texas, publicSchoolDistrict, Diboll 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: Diboll Independent School District
Triple: [Diboll, Texas, publicSchoolDistrict, Diboll Independent School District]
Generated description
Diboll Independent School District is a public school system serving students in the small East Texas community of Diboll and surrounding areas.

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_69f76e192a94819082db360cb91e6a8d completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a9266e6c819083657c1a9e648046 completed May 3, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a472f9bc0d88190906110416c5eccff completed July 3, 2026, 3:42 a.m.
NEDg Description generation batch_6a47301cc2c8819094f7f27a3ebb0852 completed July 3, 2026, 3:44 a.m.
NED2 Entity disambiguation (via description) batch_6a47311026a481908a82fef2a5ced42f completed July 3, 2026, 3:48 a.m.
Created at: May 3, 2026, 4:06 p.m.