Triple

T27209345
Position Surface form Disambiguated ID Type / Status
Subject Texas Commission on Law Enforcement E683955 entity
Predicate legalBasis P125 FINISHED
Object Texas Administrative Code
The Texas Administrative Code is the official compilation of all state agency rules and regulations in Texas, organized by subject and updated as administrative law changes.
 E1760181 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: Texas Administrative Code | Statement: [Texas Commission on Law Enforcement, legalBasis, Texas Administrative Code]
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: Texas Administrative Code
Triple: [Texas Commission on Law Enforcement, legalBasis, Texas Administrative Code]
Generated description
The Texas Administrative Code is the official compilation of all state agency rules and regulations in Texas, organized by subject and updated as administrative law changes.

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_69eefad339a08190aeacb2a198f1a39b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f625e8342c8190a809bfb169967a89 completed May 2, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1253a1a57c8190b04539b6762be613 completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a12553613d48190a33bcab491073bbb completed May 24, 2026, 1:32 a.m.
NED2 Entity disambiguation (via description) batch_6a1255e6bc2c8190bfae189c1010f55f completed May 24, 2026, 1:35 a.m.
Created at: April 27, 2026, 9:39 a.m.