Triple

T25604281
Position Surface form Disambiguated ID Type / Status
Subject Bynum, Texas E641865 entity
Predicate schoolDistrict P226 FINISHED
Object Bynum Independent School District
Bynum Independent School District is a small public school district serving the educational needs of students in and around the rural community of Bynum, Texas.
E1921384 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: Bynum Independent School District | Statement: [Bynum, Texas, schoolDistrict, Bynum 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: Bynum Independent School District
Triple: [Bynum, Texas, schoolDistrict, Bynum Independent School District]
Generated description
Bynum Independent School District is a small public school district serving the educational needs of students in and around the rural community of Bynum, Texas.

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_69e75dc6ccf081908d49578fd36a76d5 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f9a951b88190a4187e74a5b2ec93 completed May 2, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2856c775e48190aee2aef9a9afdb6d completed June 9, 2026, 6:09 p.m.
NEDg Description generation batch_6a28580a709881909ac6fd5f8de98898 completed June 9, 2026, 6:14 p.m.
NED2 Entity disambiguation (via description) batch_6a2858f2b1b48190b07bf76bd6487345 completed June 9, 2026, 6:18 p.m.
Created at: April 21, 2026, 4:37 p.m.