Triple

T37264178
Position Surface form Disambiguated ID Type / Status
Subject Algiers Courthouse E924336 entity
Predicate partOf P40 FINISHED
Object Orleans Parish court system
The Orleans Parish court system is the judicial framework serving Orleans Parish, Louisiana, encompassing various courts and courthouses that handle civil, criminal, and municipal legal matters for the New Orleans area.
E2221031 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: Orleans Parish court system | Statement: [Algiers Courthouse, partOf, Orleans Parish court system]
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: Orleans Parish court system
Triple: [Algiers Courthouse, partOf, Orleans Parish court system]
Generated description
The Orleans Parish court system is the judicial framework serving Orleans Parish, Louisiana, encompassing various courts and courthouses that handle civil, criminal, and municipal legal matters for the New Orleans area.

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_69f76eabd6c481909d414a80a1345c98 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb3731c8048190a9683362ea30e4e9 completed May 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40512cc8d08190beb1f70bbace8d79 completed June 27, 2026, 10:39 p.m.
NEDg Description generation batch_6a40524ea5e48190905a1475417546a7 completed June 27, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a4052c3ada481908d4ffbfaad34c24b completed June 27, 2026, 10:46 p.m.
Created at: May 3, 2026, 4:15 p.m.