Triple

T27348585
Position Surface form Disambiguated ID Type / Status
Subject TDCJ E684293 entity
Predicate hasDivision P35 FINISHED
Object Administrative and Finance Division
The Administrative and Finance Division is the Texas Department of Criminal Justice unit responsible for managing the agency’s financial operations, budgeting, and administrative support functions.
 E1767101 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: Administrative and Finance Division | Statement: [TDCJ, hasDivision, Administrative and Finance Division]
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: Administrative and Finance Division
Triple: [TDCJ, hasDivision, Administrative and Finance Division]
Generated description
The Administrative and Finance Division is the Texas Department of Criminal Justice unit responsible for managing the agency’s financial operations, budgeting, and administrative support functions.

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_69ef1480a76481908684256ddd5bfda3 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f62ba5a110819092fe773ade8fec2e completed May 2, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129ccb46588190b076fc5c8475879b completed May 24, 2026, 6:38 a.m.
NEDg Description generation batch_6a129dc607c48190981b49d79b0b1784 completed May 24, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_6a129e3138ac8190acdda9aff6f9fc88 completed May 24, 2026, 6:44 a.m.
Created at: April 27, 2026, 11:47 a.m.