Triple

T25067489
Position Surface form Disambiguated ID Type / Status
Subject Judicial branch of Vermont E627821 entity
Predicate hasComponent P35 FINISHED
Object Vermont Small Claims Court
Vermont Small Claims Court is a division of the state’s judiciary that handles minor civil disputes involving relatively low monetary amounts through a simplified, accessible legal process.
 E664201 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: Vermont Small Claims Court | Statement: [Judicial branch of Vermont, hasComponent, Vermont Small Claims Court]
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: Vermont Small Claims Court
Triple: [Judicial branch of Vermont, hasComponent, Vermont Small Claims Court]
Generated description
Vermont Small Claims Court is a division of the state’s judiciary that handles minor civil disputes involving relatively low monetary amounts through a simplified, accessible legal process.

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_69e2ff2d71dc8190b4758e57d643cbe4 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f4599f6f50819097b8b4fc59ec9a81 completed May 1, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048d855388190bed563819f0d2c85 completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a1049b747c48190a0b61cbd96172411 completed May 22, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_6a104aa15f248190ba69524b7d516bc1 completed May 22, 2026, 12:22 p.m.
Created at: April 18, 2026, 6:10 a.m.