Triple

T31403577
Position Surface form Disambiguated ID Type / Status
Subject state courts of the Federated States of Micronesia E801064 entity
Predicate hasPart P35 FINISHED
Object Chuuk State Court
Chuuk State Court is the primary judicial body for the State of Chuuk in the Federated States of Micronesia, handling local civil, criminal, and administrative cases under state law.
E1964974 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: Chuuk State Court | Statement: [state courts of the Federated States of Micronesia, hasPart, Chuuk State 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: Chuuk State Court
Triple: [state courts of the Federated States of Micronesia, hasPart, Chuuk State Court]
Generated description
Chuuk State Court is the primary judicial body for the State of Chuuk in the Federated States of Micronesia, handling local civil, criminal, and administrative cases under state law.

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_69f224ea9998819086ae2e4f4f4091c8 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f6a05ead8481909d33d428383e9c8e completed May 3, 2026, 1:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b1446bff88190bd02e2e4a16216cd completed June 11, 2026, 8:02 p.m.
NEDg Description generation batch_6a2b1b6b29088190b7733f428ef0209b completed June 11, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_6a2b1c49659c819084fbe6b239adffcf completed June 11, 2026, 8:36 p.m.
Created at: April 29, 2026, 9:20 p.m.